Jobs at Djinni

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 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.

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.

We are looking for a Head of Account Management to lead our Account Management function, driving long-term partner success and sustainable business growth. In this role, you will own the entire client lifecycle, optimize account management processes, strengthen strategic partnerships,  and shaping a team committed to delivering high-quality service to our partners.

Responsibilities:

• Build, develop, and scale the Account Management department;
• Hire, mentor, and manage the Account Management team, ensuring high performance and professional growth;
• Own relationships with key partners, including operators, aggregators, and platform providers;
• Develop and optimize client management processes to improve operational efficiency and service quality;
• Drive revenue growth through upselling, cross-selling, and long-term partnership development;
• Collaborate closely with Sales, Product, Integration, Support, and Finance teams to ensure seamless partner experience;
• Monitor client satisfaction, service quality, and team performance against KPIs;

• Contribute to improving the company's brand reputation and overall customer experience.

   

Requirements:

• Experience in Senior Account Management, Partnerships, or other client-facing roles within the iGaming industry;
• A track record of building and improving Account Management teams and processes;
• Deep understanding of the iGaming ecosystem, including operators, aggregators and  platforms;
• Strong commercial and negotiation skills;
• Data-driven mindset (Tableau, Power BI);
• Solid understanding of key iGaming metrics, including GGR, NGR, LTV, and retention;

• English proficiency at Upper-Intermediate (B2) level or higher.

   

We offer:

• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;

• Comfortable and easy management, no tyranny.

   

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.
1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 45–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage
 

We are looking for a Game Portfolio Manager with a strong understanding of iGaming content, market trends, and player behavior. This role bridges product and analytics — you’ll shape the strategy behind our game lineup, ensuring we offer the most engaging, high-performing titles across different markets and GEOs.

Vision of the role:
We’re looking for someone who feels confident working with games and truly understands how they function under the hood — the mechanic, player behavior, and what makes a title perform. You’ll collaborate closely with department leads and take full strategic ownership of our entire game portfolio — defining the content strategy, setting performance benchmarks, and developing actionable roadmaps. The focus is on strategic thinking and decision-making: analysis, identifying trends, and turning data into clear strategic decisions that drive portfolio growth.

Responsibilities:
- Analyze slot market trends, player behavior, and competitor games.
- Select and evaluate game concepts for portfolio integration or internal development.
- Define product requirements (mechanics, bonuses, visuals, UX) and oversee lifecycle.
- Build strategy to maximize game performance across GEOs.
- Collaborate with marketing and cross-functional teams to drive engagement and ROI.
- Track KPIs (engagement, retention, conversion, GGR) and generate reports for management.

Requirements:
- Experience in iGaming (Product, Game, or Marketing Manager roles).
- Deep understanding of gaming mechanics: slots, crash, instant, dice, live.
- Knowledge of key metrics: RTP, GGR, NGR, LTV, retention, conversion.
- Understanding of market trends across Europe, Latam, Asia, and Africa.
- Experience with analytical tools (Power BI, Excel, Tableau, etc.).
- Strategic mindset with commercial intuition – ROI and business impact awareness.
- Strong communication, coordination, and leadership skills.
- Flexible and adaptable in a fast-changing market.

We offer:
- Convenient work schedule (8/9/10/11 — 17/18/19/20);
- 21 working days of vacation;
- 10 working days of sick leave;
- Extra days off for birthday, wedding, etc and for public holidays;
- Payment for training;
- Financial and intangible gifts from the company;
- Free communication, the ability to influence processes and implement your ideas;
- Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.

1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.

2. Hard Skills Interview — 45–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).

3. The Offer Stage

We’re looking for someone who enjoys bringing order to detailed client requests. In this role, you’ll guide each file through a defined process: establish what information is needed, make sure the paperwork is correct, and keep the case moving until it is closed.

Much of the working day involves forms, records, follow-ups, and deadlines. You’ll also communicate with clients and the people handling different stages of their requests. Training on the company’s Irish services and procedures is provided.
 

Requirements

Two or more years in a position where processing client files and paperwork was a regular part of the job.
First-hand experience obtaining, preparing, checking, or submitting documents on behalf of clients.
Experience handling sensitive personal, identity, financial, or business details.
Ability to keep several requests progressing at the same time without losing track of outstanding actions.
Advanced English (C1) for clear written correspondence and conversations.
Working knowledge of a CRM or a system used to track client cases.
A careful approach to data entry, form completion, and checking information for errors.
Strong time management, consistent follow-through, and clear communication with clients.
Willingness to work within established processes, meet performance goals, and take on routine administrative work.
Interest in building a long-term career with the company.
 

Responsibilities

Oversee each assigned file from the first client contact through its final steps.
Determine which details and supporting papers are needed, then obtain them from the client.
Review submitted materials, flag discrepancies, and follow up on anything incomplete.
Enter information into forms and check submissions before they move forward.
Keep the CRM current with case notes, correspondence, progress, and upcoming actions.
Monitor due dates and make sure open items receive timely follow-up.
Work with colleagues and outside providers on incorporation, bookkeeping and accounting, tax, or compliance matters.
Tell clients what is happening with their requests and what they need to do next.
Draft quotes, proposals, and other documents sent to clients.
Help resolve issues within company procedures and introduce other relevant services when appropriate.
 

Would be a plus

Experience with Irish or other corporate service providers; business registration; identity and business verification; AML processes; legal, tax, or accounting administration; official registries; banking or insurance operations; immigration or property files. Experience serving international business clients, recommending related professional services, or speaking German, Spanish, Chinese, French, or Italian is also welcome.
 

Work conditions

€1,100–€1,300 gross per month. A higher rate can be discussed with applicants whose background closely matches corporate services or compliance.
Quarterly incentive tied to results from relevant additional service recommendations.
Full-time remote work on an independent contractor basis, intended as a long-term position.
20 paid days off, rising to 30 after the first year.
Up to €500 a year for professional development after six months.
Initial training, support from experienced team members, and room to grow in an international company.

We are hiring a DevSecOps Architect / Technical Lead for a project modernizing digital banking architecture and enhancing security, scalability, and platform reliability. 

The customer is a financial services organization providing banking products and digital solutions for individual and business clients. The company operates through an established service network and online platforms and is part of a larger international financial group, supporting ongoing development of its services for a broad client base. 

The project is focused on defining a structured architecture roadmap for a large-scale digital banking transformation program. It includes target-state architecture, platform modernization, API governance, security, data and analytics, system decoupling, and phased migration of business capabilities to reduce system dependencies and accelerate future digital development. 

     Responsibilities: 

• Translating the DevSecOps master plan into a practical implementation roadmap. 
• Defining reusable CI/CD, security and release-management standards. 
• Supporting the transition from Bitbucket/Jenkins to Azure Repos and Azure Pipelines. 
• Implementing security scanning and release gates in CI/CD pipelines. 
• Configuring security controls for AKS, container images, identities and secrets. 
• Establishing artifact signing, SBOM generation and secure promotion processes. 
• Integrating platform security events with the bank’s monitoring and SIEM solutions. 
• Defining vulnerability-management, audit-evidence and incident-response processes. 
• Providing technical leadership, recommendations and knowledge transfer to delivery teams. 

• Participating directly in configuration, integration and troubleshooting activities. 

   
  Requirements: 

• Experience in DevSecOps, cloud security or platform security for 5+ years. 
• Strong hands-on experience with Microsoft Azure. 
• Practical experience with Azure DevOps or comparable enterprise CI/CD platforms. 
• Experience designing and implementing secure CI/CD pipelines. 
• Experience integrating security scanners and quality gates into pipelines. 
• Practical knowledge of Kubernetes and container security, preferably AKS. 
• Experience with Infrastructure as Code, preferably Terraform. 
• Knowledge of identity, secrets and certificate management. 
• Understanding of SAST, SCA, DAST, secret scanning, IaC scanning and container scanning. 
• Ability to combine solution design and technical leadership with hands-on implementation. 
• Strong communication and documentation skills. 

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

   

  Nice-to-haves: 

• Experience in the banking domain. 
• Experience with Jenkins, Bitbucket and migration to Azure DevOps. 
• Experience with Azure Key Vault, Azure Container Registry and Defender for Containers. 
• Familiarity with tools such as SonarQube, Sonatype, Nexus, Gitleaks, Checkov or OWASP ZAP. 
• Understanding of SBOM, artifact signing and software supply-chain security. 
• Experience with DefectDojo, Microsoft Sentinel or other vulnerability-management and SIEM solutions. 
• Experience with Azure Policy, Gatekeeper, OPA or Kubernetes admission controls. 
• Experience in banking or another regulated industry. 
• Understanding of DORA, audit traceability and segregation-of-duties requirements.