Jobs at Djinni

We are looking for a Head of Product with hands-on experience in blockchain, digital asset, and/or fintech products to lead product strategy, roadmap development, and delivery.

Key Responsibilities:

• Define and maintain the product vision, strategy, and roadmap.
• Research market trends, competitors, and user needs.
• Translate business goals into clear product requirements.
• Prioritize features and manage the product backlog.
• Coordinate product, design, engineering, and business teams.
• Define product metrics and evaluate feature performance.
• Manage product delivery, timelines, risks, and dependencies.
• Work with external technology and service providers.

• Improve internal product development processes.

   

Requirements:

• Experience as a Head of Product, Product Lead, or Senior Product Manager.
• Hands-on experience with blockchain, digital asset, and/or fintech products is required.
• Strong understanding of product discovery, development, and delivery.
• Experience creating product roadmaps and writing clear requirements.
• Understanding of wallets, payments, trading systems, liquidity, custody, and KYC/AML solutions.
• Strong analytical, communication, and leadership skills.
• Experience working with technical teams and external providers.

• English proficiency sufficient for working with international teams and documentation.

   

What We Offer:

• Full-time employment.
• Remote work.
• Flexible working hours.
• Competitive compensation based on interview results.
• Paid vacation and sick leave.
• Direct influence on the product strategy and development.
• Long-term cooperation.

We are looking for a CTO / Solution Architect with hands-on experience in blockchain, digital asset, and/or fintech products to define the technical strategy, design the system architecture, and manage the development team.

Key Responsibilities:

• Design the product architecture and select the technology stack.
• Develop the technical roadmap and plan resources.
• Manage the development team and participate in hiring.
• Evaluate third-party solutions, services, and technology providers.
• Oversee development quality, security, and technical documentation.
• Establish CI/CD, testing, monitoring, and incident response processes.

• Ensure system stability, scalability, and fault tolerance.

   

Requirements:

• Experience as a CTO, Tech Lead, or Solution Architect.
• Hands-on experience with blockchain, digital asset, and/or fintech products is required.
• Understanding of blockchain infrastructure, wallets, custody solutions, liquidity providers, and trading systems.
• Experience designing secure, high-load systems.
• Understanding of microservices and event-driven architecture.
• Experience with cloud infrastructure, Docker, Kubernetes, PostgreSQL, Redis, and message brokers.
• Experience managing technical teams and external contractors.

• English proficiency sufficient for working with documentation and international providers.

   

What We Offer:

• Full-time employment.
• Remote work.
• Flexible working hours.
• Competitive compensation based on interview results.
• Paid vacation and sick leave.
• Direct influence on the architecture, technologies, and team structure.
• Long-term cooperation.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical 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 інфраструктури 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.

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.

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.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical 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 інфраструктури 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.

We are looking for a Sales Development Representative in our sales department.

This role is for people who want to work on the front line of how the company wins new clients, speaking with potential partners, helping shape opportunities, & supporting the process of turning interest into long-term cooperation.

You will work closely with the sales and marketing teams & be involved in both incoming inquiries & proactive outreach to companies that match our target markets.

Your core responsibilities will include:
— Engaging with potential clients
— Understanding their needs at a high level
— Helping move opportunities forward
— Supporting the preparation of commercial conversations and proposals

Requirements:
— C1 level of spoken & written English
— Ability to hold structured business conversations
— Strong self-organization & multitasking skills
— Readiness to initiate contacts with new people

Montepro is looking for a detail-oriented Facebook Account Specialist to join our Operations team.

In this role, you will support the preparation and maintenance of Facebook accounts used by our media buying team. We’re looking for someone who is organized, responsible, and eager to learn. Previous experience is a plus, but not required—we provide full training.

Responsibilities

• Prepare and maintain Facebook accounts according to internal procedures.
• Work with anti-detect browser software (AdsPower).
• Perform daily operational tasks following established workflows.
• Keep accurate records of account statuses and activity.
• Prepare accounts for handoff to the Media Buying team.

• Follow internal guidelines and security procedures.

   

Requirements

• High attention to detail.
• Strong sense of responsibility and discipline.
• Confident PC skills.
• Ability to follow processes and work independently.

• Experience with Facebook or digital marketing is a plus but not required.

   

What We Offer

• Fully remote work.
• Comprehensive onboarding and training.
• Stable compensation.
• Opportunity to grow within an international performance marketing company.
• Friendly team and well-established internal processes.

We are looking for an experienced Azure Data Architect to join a long-term European project. The project is planned for one year. 

The role focuses on designing and evolving enterprise data architecture in Azure, including the data layer supporting GenAI, RAG, and Agentic AI applications. This is an architecture-focused position — hands-on development of AI agents or RAG solutions is not required.

Responsibilities:

• Design and evolve scalable enterprise data architecture on Microsoft Azure.
• Own architectural decisions related to data modeling, ingestion, storage, integration, and modernization.
• Design data platforms and data layers supporting GenAI, RAG, and Agentic AI applications.
• Define approaches for preparing, storing, governing, and exposing enterprise data and knowledge for AI consumption and retrieval.
• Design solutions for both structured and unstructured data.
• Develop scalable metadata- and configuration-driven data ingestion approaches.
• Design and optimize Data Lake and Lakehouse architectures.
• Define architectural patterns and integrations across Azure data services.
• Ensure scalability, maintainability, security, and reliability of data-platform solutions.

• Collaborate with engineering and other technical teams on architecture implementation.

   

Requirements:

• Strong experience in enterprise Azure Data Architecture.
• Proven experience designing production data architecture supporting GenAI, RAG, or Agentic AI applications.
• Hands-on project experience designing or owning the data layer behind a production RAG/Agentic AI solution.
• Strong knowledge of Azure Cosmos DB — essential.
• Strong experience with Azure Synapse Analytics and Azure Databricks.
• Experience with Azure SQL Managed Instance, SQL Server, and T-SQL.
• Strong knowledge of Azure Data Lake and Lakehouse architecture.
• Experience with Azure Functions.
• Strong knowledge of data modeling, data ingestion, and data-platform modernization.
• Experience working with both structured and unstructured data.
• Experience designing metadata/configuration-driven ingestion and scalable data platforms.
• Understanding of data patterns used in GenAI/RAG solutions, such as document processing, metadata, chunking, embeddings, vector search, and retrieval.
• Experience taking ownership of architectural decisions in complex enterprise environments.

• Spoken English — B2 or higher.

   

We offer:

• Work schedule is flexible — fixed amount of hours that you need to work per month
• 20+ personal days for rest per year (10 days allocated every 6 months; unused days do not expire)
• Up to 12 official public holidays per year (each employee can decide how many to use)
• Birthday day off
• Reimbursement of 5 sick days per year
• Partial compensation for external courses/conferences (after the completion of the Adaptation Period)
• Partial compensation for external professional certifications
• Reimbursement for sports or massage
• Large library with a scheduled purchase of new books every half a year
• Yearly Individual Development Plan (after the completion of the Adaptation Period)

If your experience matches this role, we’d love to hear from you. Apply now!

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Our Support and Service Team in Riga is seeking an B2B Operations Manager to take full ownership of ongoing projects and the setup of new initiatives within the B2B iGaming sector.

The role requires strong understanding of operational and financial metrics, independent decision-making, and communication. The goal is to delegate full operational ownership and ensure stable growth and controlled financial performance.

Please note that this is an on-site role based in Riga, Latvia. If you’re currently based elsewhere, we can consider relocation support for candidates who are a strong fit for the role.

Requirements:

• Experience in B2B iGaming operations or project management, ideally in a fast-paced, data-driven environment (2+ years preferred);
• Experience as a CRM / engagement / retention manager, with readiness to grow into a broader operational, partner-facing role;
• Understanding of operational models, knowledge of financial models is a plus.

Skills:

• Confident Excel / Google Sheets (formulas, pivot tables, analysis);
• Atlassian Suite;
• CRM analytics and working with data:
  • Reading and interpreting retention / CRM metrics (e.g., retention, reactivation, churn, LTV, conversion by segment);
  • Cohort analysis and user segmentation;
  • Evaluating promo campaign effectiveness (conversion / ROI);
  • Ability to turn data into operational decisions, not just read the numbers.
• High level of English knowledge;
• Ownership - makes decisions independently, doesn't wait for instructions;
• Comfortable working under pressure and juggling multiple projects.

Responsibilities:

Project Setup:

• Launching new projects under own operation;
• Communication and alignment on the project development vector and operational flows with IT solutions users;
• Coordination of BPM / CRM / Finance / Support;
• Deadline control;
• Control of project readiness for go-live.

Daily Operations:

• KPI control;
• Control of promo launch and correctness;
• Coordination of internal departments;
• Escalations and independent operational decisions;
• Project development and proposals to improve metrics;
• Providing project performance reports.

B2B Communication:

• Communication with IT solutions users on operational matters;
• Resolution of disputed situations;
• Participation in status calls;
• Proactive communication on issues requiring urgent decisions.

We offer:

• Full-time on-site work in the centre of Riga;
• Paid parking space;
• Sports compensation;
• Medical insurance;
• Corporate events;
• A team of top-level professionals;
• Opportunities for professional growth and development;
• Salary range of 3500 - 6500 EUR gross, depending on the candidate's seniority. The upper limit is negotiable on an individual basis.

We thank all applicants for their interest. Please note that only those selected for further consideration will be contacted.

We are hiring a Senior Backend Engineer (Identity & Access Management) for a project building a scalable distributed platform and delivering reliable backend solutions. 

Our customer is an international organization operating in the financial and protection services domain. The company provides a diverse portfolio of customer-oriented solutions across multiple business areas and markets. With a strong focus on digital capabilities, operational excellence, and long-term development, the organization continuously invests in technology, process improvement, and service innovation to support evolving customer and business needs. 

The project focuses on building and evolving a high-performance, scalable distributed platform designed to support complex business operations and rapid product growth. The system is developed in Go, with a strong emphasis on efficient concurrency models, reliability, and long-term maintainability. 

Responsibilities: 

- Designing, developing, and operating high-throughput, low-latency identity services: Single Sign-On (SSO), Multi-Factor Authentication (MFA), session management, and federation. 

- Owning features end-to-end from design through production and support. 

- Implementing and scaling modern authentication and authorization protocols and token formats (OAuth 2.0, OpenID Connect, JWTs), including secure token issuance, rotation, and revocation strategies. 

- Writing clean, concurrent, and highly performant backend services primarily in Go. 

- Designing idiomatic, testable code and clear API contracts (gRPC/HTTP). 

- Using DevOps experience to deploy, manage, and automate identity infrastructure (CI/CD, monitoring, and incident response). 

- Serving as the subject matter expert on authentication and identity: owning internal security reviews, threating modeling for identity flows, and guiding other teams on secure integrations with the platform. 

- Integrating and maintaining solutions with custom and standard identity providers (e.g. Keycloak and AWS Cognito), and federation patterns. 

- Mentoring engineers, conducting design reviews, and contributing to the team's technical roadmap and security posture. 

Must-haves: 

- Experience in backend engineering for 7+ years, including 5+ years with Go. 

- Experience working with IAM in production environments. 

- Strong production experience with Go and gRPC, building complex, distributed backend systems. 

- Deep expertise in authentication and authorization, including OAuth 2.0, OIDC, SSO, MFA, RBAC, JWT signing/verification/assertions, token security, session management, and cryptography.  

- Strong understanding of web security, federated identity, secure coding, and OWASP Top 10.  

- Hands-on experience with cloud platforms (AWS preferred), container orchestration (Kubernetes), and Infrastructure as Code (Terraform, Terragrunt and OpenTofu/Tofu). 

- Experience designing high-throughput, low-latency systems with a focus on security and correctness. 

- Strong communication skills and ability to explain security and architecture trade-offs to technical and non-technical stakeholders. 

- Level of English – from Upper-Intermediate and above. 

Nice-to-haves: 

- Experience with SAML, SCIM, PKI, JWKs/JWKS endpoints, key management (KMS/HSM) and token introspection. 

- Working knowledge of identity platforms (commercial or open source), rate limiting, abuse mitigation, and adaptive authentication. 

We are looking for a Game Mathematician to work on slot games within an iGaming product. This role is for someone who can turn mathematics into an engaging and well-balanced gaming experience, works confidently with probabilities, RTP, and simulations, and collaborates effectively with developers and QA.

Responsibilities

• Design and calculate mathematical models for slot games (RTP, volatility, hit rate, max win).
• Build and balance core game elements: paytables, reels / weights, wild & scatter logic, free spins, respins, multipliers, bonus features.
• Prepare complete mathematical documentation for implementation: formulas, rules, tables, edge cases, configurations.
• Prepare math validation reports.
• Support developers and QA during integration and testing phases.
  
   

Optional / Additional Responsibilities

• Research iGaming trends and competitor mechanics.
• Participate in the full game lifecycle (from concept to release).
• Analyze player behavior using mathematical and statistical data.
  
  Requirements
• Commercial experience in slot math / casino game mathematics.
• Strong understanding of probability theory, combinatorics, and statistics.
• Clear understanding of RTP structure (base vs bonus contribution), volatility management, and feature triggers.
• Ability to produce clear and well-structured technical documentation for engineering teams.
• Strong analytical thinking, attention to detail, and ownership of results.
  
  Nice to Have
• Confident knowledge of Python.
• Experience building simulation scripts / tools (config-driven, reproducible simulations, result export).
• Experience with jackpot / progressive models.
• Understanding of compliance and regulatory requirements in iGaming.
  
  What We Offer
• Work on real slot games in the iGaming domain.
• Direct impact on core gameplay and the mathematical model of the product.
• Collaboration with an experienced team (game design, development, QA).
• Long-term cooperation and a stable project.

Team Summary

Our team is committed to providing high-quality data across a wide array of domains for our clients. We offer a comprehensive suite of services and solutions specifically designed to enhance data programs for AI products. Our expertise encompasses the entire data management lifecycle, from data requests and collection to processing and the delivery of ready-to-use datasets. We provide an extensive range of data services, including initial collection, annotation, and thorough analysis.

Job summary

We are looking for a highly skilled Data Annotator with extensive experience in data annotation, particularly within the Computer Vision domain. This role involves precise labeling and classification of data, ensuring data quality and consistency to support the advancement of machine learning and artificial intelligence initiatives.

Responsibilities and Duties

• Label videos or images according to given instructions
• Check and validate annotations to ensure compliance with standards
• Enhance annotation tools, methods, and instructions to increase efficiency and quality
• Collaborate with internal and customer teams to align on annotation requirements
• Monitor errors and evaluate annotation quality
• Research new tools and new types of annotation and communicate with internal and external teams regarding these findings
• Focus on increasing output speed to provide an efficient approach that balances velocity and quality

• Create documentation and guidelines for new types of tasks

   

Qualifications and Skills

• Hands-on experience using specialized platforms and tools for annotation
• Previous experience with several types of annotation.
• High attention to detail and ability to notice the slightest deviatations and inconsistencies in data labeling
• Quick learning of new data annotation tools
• Good analytical thinking 
• Basic Excel and SQL skills
• Good written and spoken English
• Exceptional self-management and autonomy in the workplace

Nice to have

• Experience automating annotation processes (scripts, API integration)

• Experience with Git, Jira and Confluence

   

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive compensation and perks. Annual performance review
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Gig-contract
• 21 paid vacation days per year, paid public holidays according to Ukrainian legislation
• Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves
• Medical insurance is provided from day one. Sick leaves and medical leaves are available
• Remote working mode is available within Ukraine only
• Free meals, fruits, and snacks when working in the office.