Jobs at Djinni

About us:

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills.
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks

Will be a plus:

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs.

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

Find more about us on social media platforms: Instagram, LinkedIn.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed to handle complex, high-stakes environments.

We are currently expanding and looking for a strong Data Engineer to help us design and build scalable pipelines for processing large volumes of both structured and unstructured data. These pipelines power comprehensive, interactive knowledge bases used in real-world operations. 

In this role, you will work closely with the core data processing workflows and collaborate daily with software engineers, AI/ML engineers, DevOps specialists, and the QA team. Because much of the work happens across different parts of the system, strong communication and the ability to collaborate effectively with other teams are essential.

What You Will Do

- Design and build ETL/ELT pipelines for large volumes of unstructured data using orchestrators such as Temporal, Prefect, Celery, or Airflow, along with distributed processing engines like Ray and Spark.
- Automate AI-related tasks including text extraction, summarization, OCR, named entity recognition, and embedding generation using various self-hosted models, including some developed in-house.
- Design data schemas and manage storage across multiple systems, including relational databases (PostgreSQL), NoSQL databases (Elasticsearch, Mongodb), vector search engines (Qdrant, Milvus), and graph databases (Neo4j).
- Set up and maintain messaging queues for distributed data processing using tools such as Kafka, RabbitMQ.
- Develop custom Python tools and logic to ensure high throughput, reliability, and fault tolerance in data pipelines.
- Containerize services with Docker and orchestrate deployments using Kubernetes, including on-premise environments.
- Build and maintain CI/CD pipelines to support reliable development and deployment workflows.
- Monitor infrastructure and pipeline health using Prometheus and Grafana, and manage centralized logging with the ELK Stack.

What You Need to Join Us

- Strong hands-on experience with SELF-HOSTED data engineering tools.
- Solid Python skills and the ability to build reliable, production-grade data workflows.
- Experience automating workflows that involve different AI models, including self-hosted ones.
- Good understanding of how modern search and RAG systems are designed and operate.
- Familiarity with messaging systems such as Apache Kafka, RabbitMQ.
- Strong understanding of relational databases (PostgreSQL) as well as other data systems such as Elasticsearch, Qdrant/Milvus, and Neo4j.
- Practical experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions or GitLab CI).
- Familiarity with monitoring and observability tools such as Prometheus, Grafana, and the ELK Stack.
- Experience working with on-premise infrastructure environments.

Why Join Us

- Make a Real Impact: Our systems have already been validated in real-world, nation-state level operations.
- Right Place, Right Time: Work at the intersection of AI, large-scale data processing, and cybersecurity.
- Military Deferment: Available for full-time employees.
- Flexible Schedule: Remote-friendly environment focused on results rather than rigid hours.

–––––––––––––––––––––––––––––––Рідною–––––––––––––––––––––––––––––––

Cyber Harbor - українська компанія, заснована інженерами та дослідниками, які брали участь у захисті критичної кіберінфраструктури під час війни. Ми спираємося на реальний практичний досвід і створюємо AI-powered системи для складних середовищ, де помилка може мати високу ціну.

Зараз ми розширюємо команду та шукаємо сильного Data Engineer, який допоможе нам проєктувати й розвивати масштабовані пайплайни для обробки великих обсягів структурованих і неструктурованих даних. Саме ці пайплайни є основою комплексних інтерактивних баз знань, що використовуються в реальних операційних процесах.

У цій ролі ви працюватимете з ключовими процесами обробки даних та щодня взаємодіятимете з software engineers, AI/ML engineers, DevOps specialists і QA командою. Значна частина задач лежить на стику кількох компонентів системи, тому для нас важливі сильні комунікаційні навички та вміння ефективно працювати з різними командами.

Що ви будете робити

• Проєктувати та розробляти ETL/ELT-пайплайни для обробки великих обсягів неструктурованих даних із використанням інструментів оркестрації, таких як Temporal, Prefect, Celery або Airflow, а також систем розподіленої обробки, зокрема Ray і Spark.
• Автоматизувати AI-related задачі, зокрема text extraction, summarization, OCR, named entity recognition та генерацію embeddings, використовуючи різні self-hosted моделі, у тому числі частково розроблені in-house.
• Проєктувати схеми даних і будувати логіку зберігання в кількох системах одночасно: реляційних базах даних (PostgreSQL), NoSQL-рішеннях (Elasticsearch, MongoDB), векторних пошукових системах (Qdrant, Milvus) і графових базах даних (Neo4j).
• Налаштовувати та підтримувати черги повідомлень для розподіленої обробки даних за допомогою таких інструментів, як Kafka та RabbitMQ.
• Розробляти кастомні Python-інструменти й внутрішню логіку, що забезпечують високу пропускну здатність, надійність і відмовостійкість data pipelines.
• Контейнеризувати сервіси за допомогою Docker та керувати розгортанням через Kubernetes, зокрема в on-premise середовищах.
• Будувати й підтримувати CI/CD pipelines для стабільних і передбачуваних процесів розробки та деплою.
• Відстежувати стан інфраструктури та пайплайнів за допомогою Prometheus і Grafana, а також підтримувати централізоване логування через ELK Stack.
   

Що нам важливо

• Сильний практичний досвід роботи з self-hosted інструментами для data engineering.
• Впевнене володіння Python і вміння будувати надійні data workflows production-рівня.
• Досвід автоматизації процесів, що включають роботу з різними AI-моделями, зокрема self-hosted.
• Розуміння принципів побудови та роботи сучасних search і RAG systems.
• Практичний досвід роботи з системами обміну повідомленнями, зокрема Apache Kafka та RabbitMQ.
• Сильне розуміння реляційних баз даних (PostgreSQL), а також інших систем зберігання й пошуку даних, зокрема Elasticsearch, Qdrant/Milvus і Neo4j.
• Практичний досвід роботи з Docker, Kubernetes і CI/CD-інструментами (GitHub Actions або GitLab CI).
• Знайомство з інструментами моніторингу та observability, такими як Prometheus, Grafana й ELK Stack.
• Досвід роботи з on-premise інфраструктурою.

Чому варто приєднатися

• Реальний вплив - наші системи вже використовуються в реальних операційних умовах.
• Сильний технічний контекст - ви працюватимете на перетині AI, обробки великих даних і кібербезпеки.
• Бронювання - доступне для full-time працівників.
• Гнучкий формат роботи - remote-friendly середовище з фокусом на результат, а не на формальний графік.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed for complex, high-stakes environments.

We are currently looking for a Cybersecurity Engineer who will help us design, implement, and maintain the security foundations of our data processing platforms and the infrastructure around them. This role combines practical security engineering with hands-on research and testing. You will help define internal security standards, protect critical infrastructure, and proactively identify weaknesses in our systems before they can be exploited.

We build complex AI systems that operate on large datasets in sensitive environments. Because of that, security is not just a compliance requirement for us - it is a core engineering discipline.

What You Will Do

• Design and implement cybersecurity policies and internal security standards.
• Help maintain visibility and control over company devices, servers, and infrastructure assets.
• Build and improve systems that help prevent data leaks and unauthorized access.
• Perform internal security assessments of our products, infrastructure, and services.
• Conduct regular internal penetration testing and security audits.
• Use tools such as Nmap, Nuclei, Metasploit, and other scanning frameworks to identify vulnerabilities.
• Investigate potential attack surfaces across APIs, web applications, internal services, and infrastructure.
• Work closely with engineering teams to identify and address security issues early in the development process.
• Help implement monitoring, logging, and detection mechanisms for suspicious activity.
• Document findings, propose mitigation strategies, and support teams in implementing fixes.

What You Need to Join Us

• Strong practical understanding of cybersecurity principles and modern attack vectors.
• Hands-on experience with security testing tools such as Nmap, Nuclei, Metasploit, or similar frameworks.
• Strong understanding of network security, web application security, and infrastructure security.
• Experience conducting penetration tests or security research.
• Familiarity with Linux systems and common server environments.
• Ability to analyze systems and identify weaknesses in architecture or implementation.
• Curiosity, persistence, and a strong desire to understand how systems fail.
• Ability to configure and maintain system-level firewalls (for example, iptables, nftables, or ufw) and enforce network-level access policies.
• Experience configuring and operating Web Application Firewalls (WAFs) such as Cloudflare WAF, ModSecurity, or similar solutions to protect APIs and web services.
• Strong practical understanding of how the Internet works, including DNS, TLS, HTTP, and common attack vectors affecting networked systems.
• Solid knowledge of networking fundamentals, including TCP/IP, routing, NAT, VLANs, and the OSI model.
• Ability to analyze traffic flows, understand how packets move through networks, and diagnose connectivity or security issues across different layers of the network stack.

Relevant certifications such as OSCP, CEH, Security+, or similar are welcome, but real-world experience and demonstrated skills matter more.

Who We Are Looking For

Not looking for someone whose experience is centered primarily on managing large security teams or producing compliance documentation.

Instead, we are looking for highly motivated engineers and curious security-minded builders who enjoy exploring systems, testing assumptions, finding weaknesses in creative ways, and building stronger defenses as a result. Unusual backgrounds, unconventional experience, and self-driven experimentation can be a better fit for this role than a traditional career path.

Why Join Us

• Work on real-world systems operating in high-stakes environments.
• Help secure AI platforms and data infrastructure used in complex operational scenarios.
• Military deferment is available for full-time employees.
• Flexible work format in a results-driven environment.

–––––––––––––––––––––––––––––––Рідною–––––––––––––––––––––––––––––––

Cyber Harbor - українська компанія, заснована інженерами та дослідниками, які брали участь у захисті критичної кіберінфраструктури під час війни. Ми спираємося на реальний практичний досвід і створюємо AI-powered системи для складних середовищ, де помилка може мати високу ціну.

Зараз ми шукаємо Cybersecurity Engineer, який допоможе нам будувати, впроваджувати та підтримувати базові елементи безпеки наших платформ для обробки даних і пов’язаної з ними інфраструктури. Ця роль поєднує практичну security engineering роботу з hands-on дослідженням і тестуванням. Ви допомагатимете формувати внутрішні стандарти безпеки, захищати критичну інфраструктуру та проактивно виявляти слабкі місця в наших системах до того, як ними зможуть скористатися.

Ми створюємо складні AI systems, що працюють із великими обсягами даних у чутливих середовищах. Саме тому для нас безпека - це не просто вимога комплаєнсу, а повноцінна інженерна дисципліна.

Що ви будете робити

• Проєктувати та впроваджувати політики кібербезпеки й внутрішні стандарти безпеки.
• Допомагати підтримувати контроль і прозорість щодо корпоративних пристроїв, серверів та інфраструктурних активів.
• Будувати та вдосконалювати рішення, що знижують ризик витоку даних і несанкціонованого доступу.
• Проводити внутрішні security assessments наших продуктів, інфраструктури та сервісів.
• Регулярно проводити внутрішні penetration tests і security audits.
• Використовувати такі інструменти, як Nmap, Nuclei, Metasploit та інші scanning frameworks, для виявлення вразливостей.
• Аналізувати потенційні attack surfaces на рівні APIs, web applications, внутрішніх сервісів та інфраструктури.
• Тісно взаємодіяти з engineering teams, щоб виявляти й закривати security issues ще на ранніх етапах розробки.
• Допомагати впроваджувати механізми моніторингу, логування та виявлення підозрілої активності.
• Документувати результати, пропонувати mitigation strategies і допомагати командам впроваджувати необхідні виправлення.

Що нам важливо

• Сильне практичне розуміння принципів кібербезпеки та сучасних attack vectors.
• Hands-on досвід роботи з інструментами security testing, такими як Nmap, Nuclei, Metasploit або подібними frameworks.
• Сильне розуміння network security, web application security та infrastructure security.
• Досвід проведення penetration tests або security research.
• Знайомство з Linux-системами та типовими серверними середовищами.
• Вміння аналізувати системи та виявляти слабкі місця в архітектурі або реалізації.
• Допитливість, наполегливість і сильна внутрішня мотивація розуміти, як саме системи дають збій.
• Вміння налаштовувати та підтримувати system-level firewalls (наприклад, iptables, nftables або ufw) і забезпечувати мережеві політики доступу.
• Досвід налаштування та експлуатації Web Application Firewalls (WAFs), таких як Cloudflare WAF, ModSecurity або подібних рішень, для захисту APIs і web services.
• Сильне практичне розуміння того, як у реальності працює Інтернет, зокрема DNS, TLS, HTTP та типові attack vectors, що впливають на мережеві системи.
• Ґрунтовні знання мережевих основ, зокрема TCP/IP, routing, NAT, VLANs і моделі OSI.
• Вміння аналізувати traffic flows, розуміти, як пакети проходять через мережу, та діагностувати проблеми зі з’єднанням або безпекою на різних рівнях network stack.

Профільні сертифікації, такі як OSCP, CEH, Security+ або подібні, будуть плюсом, але для нас важливішими є реальний практичний досвід і підтверджені навички.

Кого ми шукаємо

Не шукаємо людину, чий досвід зосереджений переважно на управлінні великими security teams або підготовці compliance documentation.

Натомість ми шукаємо сильних, мотивованих інженерів і допитливих security-minded фахівців, яким цікаво досліджувати системи, перевіряти припущення, нестандартно шукати слабкі місця й на цій основі будувати сильніший захист. Незвичний бекграунд, нетиповий досвід і self-driven експерименти можуть підійти для цієї ролі краще, ніж класичний кар’єрний шлях.

Чому варто приєднатися

• Працювати з реальними системами, що функціонують у середовищах із високою ціною помилки.
• Допомагати захищати AI platforms та data infrastructure, які використовуються в складних операційних сценаріях.
• Бронювання доступне для full-time працівників.
• Гнучкий формат роботи в середовищі з фокусом на результат.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed to handle complex, high-stakes environments.

We are looking for a specialist who will help build a strong quality assurance process for our company’s IT products, including solutions in the field of artificial intelligence.

In this role, you will be responsible for full manual testing of our products, evaluating them through the lens of real business and user scenarios. For us, it is important not only to verify that the interface works and that the features match the stated functionality, but also to ensure that the system truly solves user problems, processes data correctly, and generates accurate responses to requests.

We expect the candidate to:

• Demonstrate a high level of responsibility, attention to detail, and an understanding that even minor issues in a MilTech product can be critical.
• Show initiative in their testing approach and not limit themselves to formal feature checks.
• Be committed to continuously developing their QA skills and professional expertise, and communicate effectively with different stakeholders.
• Have 2+ years of commercial experience in Manual QA at the Middle level or above.
• Be able not only to find bugs, but also to identify their causes and sources through log analysis, browser developer tools, debugging, and system behavior analysis.
• Understand how HTTP REST APIs work and be able to use tools such as Postman for testing.
• Be familiar with data formats such as JSON, YAML, and XML.
• Understand the basic principles of working with Git, be familiar with deployments, different environments, and semantic versioning.
• Have a solid understanding of the testing process and hands-on experience with core testing artifacts. 
• Ability to work with requirements, conduct requirements testing and exploratory testing, create checklists, test cases, and bug reports, prepare test run reports, and perform smoke and ad hoc testing. 
• Have experience in requirements analysis, test design, defect tracking, and supporting risk management processes.
• Understand why testing across different environments, operating systems, and browsers is necessary, and how to ensure it is done effectively.
• Be ready to work from the office in Kyiv, at least during the product onboarding stage and team integration.

Not required, but would be a plus if you have:

• Experience working with SaaS products or analytical platforms.
• Any experience in test automation, programming, or writing scripts to speed up tasks.
• Understanding of SQL or Cypher queries.
• Relevant QA certifications.

We offer:

• The opportunity to work on national-scale projects with real practical impact.
• Professional growth in a team of strong specialists. The opportunity to build your own QA team and gradually move into Automation QA, if desired.
• An office in Kyiv with a generator and uninterrupted internet access.
• Military deferment.

Our company is developing its own interactive knowledge base. Users can upload any volume of diverse data, after which the system automatically transforms it into structured, searchable content. To achieve this, we use a comprehensive ML pipeline involving OCR, vision-language models, document parsers, and multiple types of data storage. Search is implemented through an LLM-based chat interface that allows users to submit queries in natural language, retrieve relevant documents, and receive summarized findings and recommendations based on the uploaded materials.

We are currently looking for an ML/AI Engineer with deep experience working with unstructured content - primarily photographs and scanned document copies - who will strengthen our team and lead the development of pipelines and solutions for processing this type of data.

We expect the candidate to:

• Have broad experience working with unstructured data and have used both classical OCR systems (Tesseract, PaddleOCR, EasyOCR) and modern models (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Understand the strengths and weaknesses of different architectures and the scenarios in which each is most effective.
• Have hands-on experience training and fine-tuning OCR and Vision-Language models.
• Understand algorithmic approaches to image enhancement, preprocessing, and filtering in order to improve downstream recognition quality.
• Have worked with Docling (including advanced backend tuning for parsing complex PDFs and tables), markitdown, Apache Tika, PyMuPDF, and other tools for document conversion and structuring. Be comfortable with processing layered and non-trivial PDF files.
• Have experience working with self-hosted models, including deploying and optimizing models in vLLM environments on H100-class GPUs and above, and understand the principles of GPU architecture and KV cache.
• Have strong Python programming skills, including architectural patterns, multithreading, asynchronous programming, modern testing practices, and experience operating services under high load (monitoring, telemetry, memory utilization).
• Have experience working with document-oriented, relational, and vector databases, and understand index types and the relevant use cases for each type of storage.

It would be a plus if you have:

• Experience working with Speech-to-Text or Video-to-Text pipelines.
• Experience in content analysis, including classification, summarization, and NER.
• Experience in data engineering: understanding of ETL/ELT processes, experience with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience in DevOps: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other storage systems.
• Understanding of modern cybersecurity approaches.
• Hands-on experience with production-grade RAG-based systems.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

–––––––––––––––––––––––––––––Українською–––––––––––––––––––––––––––––

Наша компанія розробляє власну інтерактивну базу знань. Користувачі можуть завантажувати будь-який обсяг різноманітних даних, після чого система автоматично перетворює їх на структурований, придатний для пошуку контент. Для цього застосовується комплексний ML-пайплайн із залученням OCR, VL моделей, документних парсерів та різних типів сховищ даних. Пошук реалізовано через чат на базі LLM, який дозволяє формувати запити звичайною мовою, отримувати релевантні документи, а також узагальнені висновки та рекомендації на основі завантажених матеріалів. 

Зараз ми шукаємо ML/AI інженера з глибоким досвідом роботи з неструктурованим контентом (насамперед фотографіями та скан-копіями документів), який підсилить нашу команду та очолить напрям розробки пайплайнів і рішень для обробки таких даних. 

Ми очікуємо, що кандидат: 
• Має широкий досвід роботи з неструктурованими даними та застосовував як класичні OCR-системи (Tesseract, PaddleOCR, EasyOCR), так і сучасні моделі (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Розуміє сильні та слабкі сторони різних архітектур і сценарії їх застосування. 
• Має практичний досвід навчання та fine-tuning OCR і Vision-Language моделей. 
• Розуміє алгоритмічні методи покращення зображень, їх попередню фільтрацію та обробку для підвищення якості подальшого розпізнавання. 
• Працював з Docling (включно з тонким налаштуванням бекендів для парсингу складних PDF і таблиць), markitdown, Apache Tika, PyMuPDF та іншими інструментами для конвертації й структуризації документів. Орієнтується у процесингу багатошарових і нетривіальних PDF-файлів. 
• Має досвід роботи з self-hosted моделями, зокрема запуску та оптимізації моделей у середовищах vLLM на GPU рівня H100 і вище, розуміє принципи GPU-архітектури та KV cache. 
• Має сильні навички програмування на Python: архітектурні патерни, багатопоточність, асинхронність, сучасні практики тестування, досвід експлуатації сервісів під високим навантаженням (моніторинг, телеметрія, утилізація пам'яті). 
• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, розуміє типи індексів і відповідні юзкейси для кожного типу сховищ. 

Буде плюсом: 
• Досвід роботи з Speech-to-text або Video-to-text пайплайнами.
• Досвід аналізу контенту: класифікація, сумаризація, NER. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими сховищами. 
• Розуміння сучасних підходів до кібербезпеки. 
• Практичний досвід із системами на основі RAG у продакшені. 

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

We are looking for a specialist who will be responsible for the development and maintenance of a complex AI-powered search system built on top of a large interactive knowledge base. The system includes tool calling and agentic behavior that interact with internal tools and multiple types of storage: vector databases for semantic search, document-oriented databases for full-text search, as well as relational and graph databases for lookup by specific identifiers. The search interface is built as an LLM-powered chat that supports natural language queries and returns well-grounded conclusions, recommendations, and links to primary sources.

The candidate will be responsible for designing and implementing the full LLM-powered search pipeline, including orchestration, reasoning, reranking, tool calling, handling tool outputs, validating results, and generating final user-facing responses.

We expect the candidate to:

• Have hands-on commercial experience working with vLLM in self-hosted environments, including model optimization on H100/H200 GPUs, with a solid understanding of GPU architecture principles and cache behavior under production workloads.
• Have a deep understanding of the RAG concept and a proven track record of successfully deploying similar solutions in production.
• Have worked with Haystack, LlamaIndex, LangChain, or similar frameworks, and understand the core differences between them.
• Have experience using MCP and working with LLMs that call external tools and services.
• Have strong Python skills, including architectural principles, design patterns, multithreading, asynchronous programming, modern testing practices, and experience operating systems under load (monitoring, memory optimization, telemetry).
• Have experience working with document-oriented, relational, and vector databases, including an understanding of index types and the appropriate use cases for each.

It would be a plus if you have:

• Experience building or maintaining knowledge bases, AI-powered reporting systems, or chatbots with large context windows.
• Experience training or fine-tuning LLMs or compact models for domain-specific tasks.
• Practical DevOps experience: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience developing OCR- and Vision-Language-based systems for processing unstructured data.
• Experience in data engineering: understanding of ETL/ELT processes, working with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other database systems.
• Understanding of cybersecurity processes and modern approaches to data protection.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

––––––––––––––––––––––––––––Українською––––––––––––––––––––––––––––

Шукаємо фахівця, який буде відповідати за розробку та супровід комплексної AI-powered пошукової системи на основі великої інтерактивної бази знань. У системі реалізовано tool calling та agentic behaviour, що працюють із внутрішніми інструментами та різними типами сховищ: векторними базами для семантичного пошуку, документоорієнтованими для повнотекстового пошуку, а також реляційними та графовими базами для пошуку за конкретними ідентифікаторами. Інтерфейс пошуку побудовано у форматі LLM-powered чату, який підтримує запити natural language і повертає аргументовані висновки, рекомендації та посилання на першоджерела. 

У зону відповідальності кандидата входитиме проєктування та впровадження повного пайплайну LLM-powered пошуку, включно з orchestration, reasoning, reranking, tool calling, обробкою відповідей інструментів, валідацією результатів та формуванням фінальних відповідей для користувача. 

Ми очікуємо, що кандидат: 

• Має практичний комерційний досвід роботи з vLLM у self-hosted середовищах, включно з оптимізацією моделей на GPU H100/200, розумінням принципів GPU-архітектур та поведінки кешу під продакшн-навантаженням. 
• Глибоко розуміє концепцію RAG та має досвід успішного впровадження подібних рішень у продакшені. 
• Працював з Haystack / LlamaIndex / LangChain або аналогічними фреймворками та орієнтується в принципових відмінностях між ними. 
• Має досвід використання MCP та роботи з LLM, які викликають зовнішні інструменти й сервіси. 
• Володіє Python на високому рівні: архітектурні принципи, шаблони проєктування, багатопоточність, асинхронність, сучасні практики тестування, а також досвід експлуатації систем під навантаженням (моніторинг, оптимізація пам'яті, телеметрія). 

• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, включно з розумінням типів індексів і відповідних сценаріїв застосування. 

   

Буде плюсом: 

• Досвід створення або підтримки баз знань, систем генерації звітів на базі AI, розробка чатботів із великим контекстним вікном.
• Досвід навчання або fine-tuning LLM чи компактних моделей для специфічних задач. 
• Практичний досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід розробки систем на основі OCR та Vision-Language моделей для обробки неструктурованих даних. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими СУБД. 
• Розуміння процесів кібербезпеки та сучасних підходів до захисту даних. 
   

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

Petcube is looking for an Embedded Tech Lead to own the technical direction of our hardware and firmware platform across multiple product lines (cameras and GPS trackers). You’ll be the person who makes the key architectural and system-level decisions, ensures production readiness, and builds a sustainable engineering culture within a small, high-impact team. This is a leadership role first — you’ll guide and support engineers rather than write the majority of the code yourself.

What You’ll Do

• Define and evolve the platform architecture across Petcube’s embedded products
• Make key technical decisions around hardware, firmware, and system design
• Own production readiness: guide products from prototype through mass production and ongoing maintenance
• Mentor and support firmware engineers through code reviews, technical discussions, and design feedback
• Communicate technical risks, trade-offs, and timelines clearly to product and management
• Balance short-term delivery pressure with long-term platform quality and technical debt management

• Drive cross-team alignment on technical decisions that affect firmware, hardware, backend, and mobile

   

What We’re Looking For

• 7+ years in embedded engineering with progressive technical leadership
• Experience launching hardware products from prototype to mass production (must-have)
• Experience working across multiple hardware generations
• Strong system-thinking mindset — ability to see how firmware, hardware, cloud, and mobile interact
• Familiarity with both Embedded Linux and MCU/RTOS environments (doesn’t need to be expert in both, but needs to understand both worlds)
• Track record of mentoring engineers and improving team practices
• Startup or early-stage product company experience (strong plus)

• Willingness to roll up sleeves when needed, but primary value is in direction, not daily code output

   

Tech Stack Across the Platform

C/C++, Embedded Linux, Zephyr RTOS / FreeRTOS, BLE (Nordic), GPS, cellular (LTE-M/NB-IoT), Wi-Fi, IMU, Yocto, CMake, low-power design, video streaming and networking.

Location: Remote — EU (Poland, Romania, Czech Republic, Germany, Slovenia, Estonia, Latvia, Greece, Hungary), US, or Canada

Why This Role

You’ll be the technical leader of the entire embedded platform at a company where firmware is the product. No layers of management between you and the decisions that matter. You’ll shape how the next generation of Petcube devices is built, mentor a small team of strong ICs, and have a direct line to the CTO. If you’ve been looking for a role where your technical judgment genuinely drives the product, this is it.

Petcube is looking for a Firmware Engineer to own the firmware for our GPS pet tracker product. This is a deeply technical, hands-on role working with BLE microcontrollers, Zephyr RTOS, and low-power wireless technologies. You’ll be building features, improving existing functionality, and documenting a codebase that often requires a reverse-engineering mindset to understand fully.

What You’ll Do

• Develop and ship new firmware features for the Petcube tracker
• Reverse-engineer and document existing firmware behavior where documentation is lacking
• Clarify and define device behavior in collaboration with product and QA
• Conduct and participate in code reviews
• Optimize for low-power operation and connectivity reliability

• Contribute to the long-term evolution of the tracker platform across hardware generations

   

What We’re Looking For

• 3+ years of firmware development experience on microcontrollers
• Strong C/C++ skills in bare-metal or RTOS environments
• Experience with Zephyr RTOS, FreeRTOS, or similar
• Hands-on experience with BLE (Nordic nRF or similar)
• Familiarity with low-power design, GPS, cellular (LTE-M/NB-IoT), Wi-Fi, or IMU
• Experience with CMake build systems

• Comfort working in a codebase with limited documentation and the patience to improve it

   

Location: Remote — EU (Poland, Romania, Czech Republic, Germany, Slovenia, Estonia, Latvia, Greece, Hungary), US, or Canada

Why This Role

This isn’t a role where you’ll write firmware for one peripheral and hand it off. You’ll own the entire tracker firmware stack — from BLE communication to GPS positioning to power management. It’s a consumer product used by real pet owners every day, and your decisions will directly shape how it performs. If you want full ownership of a product’s firmware without the overhead of a large organization, this is it.

Requirements

• Experience: 2+ years as a Business Analyst, preferably in the payments industry.

• Experience in integration and API specification analysis.

   

  Technical Skills: 

• Proficiency in requirement gathering (in the form of user stories, use cases, and other relevant formats), process mapping(UML, BPMN), and documentation(including requirements specifications, user manuals, and maintenance guides). 

• Familiarity with business analysis tools and methodologies, UML understanding.

   

  Communication: 

• Exceptional written and verbal communication skills, with the ability to liaise effectively with technical and non-technical stakeholders.

   

  Analytical Thinking: 

• Strong analytical and problem-solving skills, with a proven track record of delivering actionable insights and solutions.

Will be plus

• Experience with payment method integrations and understanding of the payment process.

Responsibilities

• Analysis of the gathered requirements and expectations and creation of requirements specifications (in the form of a user story).
  Supporting needs in requirements management during the whole project life cycle.
• Interaction with key stakeholders to gather and analyze business requirements, consulting them on opportunities and risks.
• Providing information and consulting about products’ features, relations and interactions to any stakeholder on demand.
• Monitoring and analysis of projects implementation, delivery and operation with feedback for improvements.
• API specification analysis.
• Review and approve the user stories in collaboration with project managers and key technical specialists.
• Presentation of the user stories to the team, their clarification of incomprehensible and controversial points, and their updating and changes as a result of discussion with the team.

• Ownership and detailed understanding of the features and functions of products and applications in the area of ​​responsibility. This knowledge usage to identify opportunities and threats for new requirements.

   

  Benefits

• An exciting and challenging job in a fast-growing business groups, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
• Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
• Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day
• Modern corporate equipment based on macOS or Windows and additional equipment are provided
• Paid vacations, sick leave, personal events days, days off
• ️Corporate health insurance program for your well-being
• Referral program enjoy cooperation with your colleagues and get the bonus
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
• Rewards program for mentoring and coaching colleagues
• Free internal English courses
• Yoga classes to help you stay active and energized
• In-house Travel Service
• Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie / book / pets lovers, special office days dedicated to holidays
• Corporate events, team buildings
   

Requirements:

• 3+ years of related experience;
• Bachelor's degree in finance, statistics, economics, or business administration;
• Expert-level analytical and financial modeling skills;
• Strategic thinking;
• Excellent time management and organizational abilities;
• Ability to multitask and meet constant deadlines;
• Strong presentation skills;
• Ability to influence and persuade.

Will be plus:

• Strong fluency with Excel formulas and functions;
• Strong knowledge of Tableau.

Responsibilities:

• Create and support financial model templates;
• Analyze current and past financial data and performance;
• Prepare reports and projections based on financial analysis;
• Identify trends in financial performance and provide recommendations for improvement;
• Coordinate with other members of the finance team to review financial information and forecasts.

Benefits

🍀 An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more;

🤝Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;

🧑‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided;

🏖Paid vacations, sick leave, personal event days, days off;

👨‍⚕Corporate health insurance program for your well-being;

💵Referral program — enjoy cooperation with your colleagues and get a bonus;

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;

💁🏼‍♀️Rewards program for mentoring and coaching colleagues;

🗣Free internal English courses;

🤸‍♀Yoga classes to help you stay active and energized;

✈️In-house Travel Service;

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie/book/pets lovers, special office days dedicated to holidays;

🎳Company events, team buildings.

About the role

We are looking for a Flutter developer to support and maintain an existing production mobile application. The product is already live and used by a paying client, so the focus is on stability, bug fixing, and small improvements.

This is a low-commitment, part-time role (a few hours per month), ideal as a side project. 

What you’ll work on

• Maintain and support an existing Flutter app
• Fix bugs and make small UI/logic improvements
• Work with backend APIs and socket-based communication
• Handle minor updates (dependencies, small changes in API, etc.) 

Tech stack

• Flutter / Dart
• REST APIs
• Sockets (real-time communication)
• iOS / Android 

Requirements

• 5+ years of hands-on experience with Flutter
• Experience working with existing (legacy) codebases
• Understanding of socket-based communication (WebSockets or similar)
• Solid debugging skills
• Ability to work independently with minimal supervision
• Good written English 

Nice to have

• Mobile development background (iOS/Android)
• Experience with SDK integrations (camera, etc.)
• Experience updating Flutter/Dart versions

Working conditions

• Fully remote, async work
• B2B contract
• Hourly rate

As a Junior Python Developer, you'll join our engineering team to build the backend systems that power our autonomous AI agent platform. You'll work alongside senior engineers and ML teammates to deliver scalable, reliable services that support real-time agent workflows.

We're looking for someone sharp, curious, and eager to grow — strong fundamentals matter more to us than years of experience.

Key Responsibilities

• Develop and maintain backend services and APIs supporting AI agent orchestration and data pipelines
• Write clean, efficient, and well-documented Python code
• Support the design and implementation of databases, messaging systems, and data integrations
• Collaborate with ML and frontend teams to integrate models and features into production
• Help monitor system performance, debug issues, and contribute to reliability
• Participate in code reviews, testing, and improving backend best practices

Requirements

• 0–2 years of professional Python experience (internships, open source, or strong personal projects count)
• Strong knowledge of algorithms and data structures, with a solid grasp of time and space complexity
• Clean, idiomatic Python and a good sense for choosing the right tool for the job
• Familiarity with version control (Git) and writing testable code
• A genuine curiosity for how things work under the hood

Nice to Haves

• Participation in competitive programming contests
• Olympiad background in informatics or mathematics
• Exposure to backend development, REST APIs, or databases
• Familiarity with Docker or CI/CD workflows
• Open-source contributions

Why You Should Join

• Competitive equity & pay: get in early and own what you build
• Growth opportunities. Learn directly from senior engineers, take on increasing ownership, and grow into a senior role as the company scales
• Work closely with experienced founders with a proven startup track record
• Move fast, ship fast with no corporate bureaucracy
• Shape the AI revolution in healthcare — massive market, untapped potential

The Role

In this role, you’ll primarily take ownership of progressing qualified opportunities through the later stages of the sales cycle and driving them to close.

Inbound qualification and outbound pipeline generation are handled separately. During your ramp-up, initial discovery calls and product demos are led by senior leadership, giving you direct exposure to how we position the product, qualify opportunities, and navigate complex buyer conversations. You’ll initially step in after the demo stage with warm, qualified opportunities and own the commercial path to close.

As you build product fluency, you’ll be expected to take over demos independently — owning the full cycle from post-qualification through close.

You’ll manage the full commercial process: follow-up, pilot coordination, negotiation, proposal, and contract. No cold prospecting. Clear ownership. Direct access to leadership when you need it.

What You’ll Own

• Own deals from the demo stage through a signed contract
• Lead product demos independently once ramped, with direct support from senior leadership as you build product fluency
• Drive timely, professional communication with prospects and key decision-makers across the sales cycle
• Coordinate pilot and evaluation stages — manage timelines, stakeholders, and next steps
• Manage commercial discussions, objections, and negotiations
• Prepare proposals, pricing, and deal documentation
• Maintain accurate pipeline data in HubSpot — stages, tasks, forecasts, and notes
• Collaborate with product, engineering, and account management to support deal requirements
• Ensure a clean handoff from closed-won deals to customer success
• Share structured prospect feedback with leadership and marketing to improve positioning, messaging, and conversion

What We’re Looking For

• 3–5+ years in a closing role in B2B SaaS (e.g., Account Executive, Sales Manager, Business Development Manager, or similar)
• Proven track record closing deals in the $30K–$60K+ range
• Background in AI, health tech, fitness tech, or technical SaaS
• Experience with US or European mid-market or enterprise clients
• Experience managing multi-stakeholder sales cycles of 2–6 months
• Comfort managing pilot or proof-of-concept stages as part of the sales process
• Fluent English, spoken and written - C1/C2
• Strong HubSpot proficiency - pipeline management, sequences, forecasting
• Disciplined follow-up and CRM hygiene — you document everything
• Autonomous and structured - you move deals without being pushed
   

What Success Looks Like in the First 90 Days

You’ve taken ownership of the active pipeline, established a clear operating rhythm in HubSpot, and built a reliable view of deal status, next steps, and accountability across all open opportunities. Deals are progressing. Nothing is sitting without an owner, a next step, or a date.

We are looking for a Product Designer who combines creative vision and user empathy to craft high-converting digital experiences that drive real impact. You’ll join our cross-functional acquisition team alongside product managers, product analysts, and developers, where design directly shapes how potential users discover our product and convert into registered users.

In this role, you will design and optimize our key acquisition surfaces (websites, landing pages, and registration flows), conduct qualitative research to understand visitor behavior, and translate insights into design improvements. You will influence design decisions, shape the product experience, and deliver measurable results for both the people who use our product and the company.

Responsibilities

• Design and evolve our key product websites and landing pages, with hand-off to WordPress developers for our main sites and to frontend developers for custom-built landings
• Design and continuously optimize registration and authentication flows (social logins via Google, Apple, etc.) within the existing product design system, focusing on reducing drop-off and improving completion rates
• Build user flow maps and user journey maps to visualize and improve the acquisition experience end-to-end
• Conduct qualitative user research, including session recording analysis, heatmap reviews, user interviews, and usability testing, to uncover insights and inform design decisions
• Create app store creatives, including screenshots, feature graphics, and listing assets for App Store and Google Play
• Compose visually compelling layouts with strong typography, hierarchy, and visual rhythm
• Adapt designs for multiple regions and languages, ensuring layouts, typography, and content systems work effectively across different markets and locales
• Ensure accessibility and responsiveness across different devices, adhering to brand guidelines and the product design system
• Document design decisions and guidelines for accurate implementation

Requirements

• 4+ years as a Product Designer; experience in product companies is a must
• Portfolio demonstrating strong work on websites, landing pages, and registration flows
• Hands-on experience improving registration and sign-up flows by identifying friction through qualitative research and shipping iterative improvements
• Experience designing for acquisition, growth, or conversion-focused contexts with measurable impact
• Strong qualitative research skills, including session recording analysis, heatmap interpretation, user interviews, and usability testing, with the ability to translate observations into actionable design hypotheses
• Proficiency in building user flow maps and user journey maps to visualize and communicate complex flows
• Experience creating app store creatives (screenshots, feature graphics, listing assets) for App Store and Google Play, with familiarity with ASO visual best practices
• Practical experience designing for both WordPress (page builders like Elementor or Gutenberg, reusable block patterns, dynamic content) and custom frontend hand-off, with basic knowledge of HTML, CSS, and JavaScript for effective collaboration with developers across both stacks
• Proficiency in designing responsive user interfaces for web and mobile applications, grounded in user-centered design principles and information architecture
• Strong visual design skills (typography, color theory, layout, hierarchy)
• Experience working within established design systems (components, tokens, guidelines) and proficiency in Figma for prototyping and rapid iteration
• Experience designing for multi-language and multi-regional products, with understanding of how localization affects layout, typography, content density, and visual hierarchy
• Proficient English skills (B2+ level) both written and spoken, with strong communication, teamwork, and a user-focused mindset with attention to detail

Will be a plus

• Experience working with FinTech products
• Experience designing gamification mechanics
• Experience using AI-powered tools (Midjourney, Krea, Runway, Figma AI plugins, Claude, or similar) in your design workflow

We offer

• Compensation for tax expenses of private entrepreneurs in Ukraine
• Qualified assistance and support for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Join our expanding team as a Senior Python Engineer! We’re looking for a proactive tech professional who takes ownership, sweats the details, and takes pride in delivering high-quality software.

About Project:
 

Our client specialises in developing and optimising a large-scale recruitment platform to achieve streamlined hiring processes. By utilising a multi-channel communication module, dynamic document management, and interactive Kanban boards, their goal is to enhance the efficiency of recruitment workflows, delivering seamless candidate engagement and improved organisational productivity.

What will you do?

—Develop and maintain complex platform;

—Work across backend (Python) and frontend (React.js) layers;

—Collaborate with cross-functional teams;

—Write clean, testable, and secure code following best engineering practices;

—Participate in code reviews and improve overall code quality;

—Continuously improve system performance, reliability, and user experience.

What do we expect?

Tech Skills:

—5+ years of experience as a Python Developer;
—Experience with Django, Flask framework;
—Experience with React.js;
—Experience with Azure cloud services;
—Experience with API development;
—Experience with SQL(PostgreSQL);
—Experience with Docker, Kubernetes;
—Experience with CI/CD;
—Understanding of Unit tests;
—Understanding and ability to apply in practice the OOP and SOLID principles;
—Knowledge of Scrum (Agile).

Soft Skills:

—Problem-solving, analytical thinking;
—Attention to detail and code efficiency;
—Ability to work closely with customers, analyse software requirements;
—Keen to constantly learn and improve your own skills, and not afraid to learn new things;
—Strong communication skills;
—At least Upper-Intermediate English level (speaking & writing).

We offer:
—Competitive compensation;
—Flexibility to work from anywhere (fully remotely or in our office in Lviv);
—Accounting Support Services;
—Education budget + corporate education events/trainings;
—Compensation for certifications, fitness, or therapy sessions;

—A dynamic environment where your proactivity is recognised and rewarded.

Application Process:
—Initial screening: call with Recruiter;
—Tech interview;
—Сlient’s interview.

If you're ready to bring your senior-level expertise to a product that truly matters, we’d love to meet you!