"UKRNAFTAGAZSERVICE"

About the project:

We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across all company departments.

To strengthen our team, we are looking for an experienced ML Architect (Azure AI / RAG) who will design and implement the machine learning architecture, integrate AI models, and ensure production-level performance and reliability.

Responsibilities:

• Design and implement AI architecture on Microsoft Azure (Azure ML, Cognitive Search, OpenAI, Databricks). 
• Build and manage RAG pipelines (Retrieval-Augmented Generation) and vector search systems. 
• Develop and optimize ML pipelines for embeddings, data preprocessing, and model evaluation. 
• Collaborate with DevOps and Data Engineer teams to ensure seamless integration and deployment. 
• Establish and maintain MLOps practices (model versioning, evaluation, monitoring). 
• Define and track AI performance metrics (latency, precision, recall, cost per request). 
• Create documentation (ADR, architecture diagrams, experiment tracking).

Requirements:

• 3+ years of experience in Machine Learning / AI / Data Engineering. 
• Strong background with Microsoft Azure ML / Cognitive Search / Databricks / OpenAI. 
• Proficiency in Python, FastAPI, LangChain / LlamaIndex, MLflow, Airflow. 
• Hands-on experience with vector databases (FAISS, Pinecone, pgvector, Cognitive Search). 
• Understanding of RAG, embeddings, prompt optimization, LLM orchestration. 
• Experience building MLOps / CI-CD for ML models in production. 
• English — Upper-Intermediate+ (for documentation and collaboration).

Will be a plus:

• Experience with Azure OpenAI Service, Azure Document Intelligence. 
• Knowledge of data governance, PII protection, cost optimization. 
• Background in AI-driven enterprise automation or corporate assistants.

We offer:

• Opportunity to design a core AI architecture from scratch and influence all key technical decisions. 
• Participation in a high-impact AI transformation project that scales across multiple departments. 
• Remote or hybrid work format, flexible schedule. 
• Transparent B2B / contract cooperation. 
• Supportive and technically strong team (DevOps, Data, Product).

How to apply:

Send your CV.
We will contact you shortly.

About the project:

We are developing a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees find, analyze, and generate internal documents across various departments. Our goal is to build an intelligent, secure, and scalable solution for the entire organization.

To support this initiative, we are looking for a Technical Project Manager who can coordinate the engineering team, understand Azure and AI workflows, and ensure the project stays on track both technically and organizationally.

Responsibilities:

• Coordinate the work of DevOps, Data/LLM, and ML Architecture teams. 
• Manage planning, prioritization, and delivery of technical tasks. 
• Track progress and blockers using Jira/Notion/Planner. 
• Communicate with stakeholders and prepare project reports. 
• Translate technical concepts (Azure, RAG, ML pipelines) into clear status updates for management. 
• Facilitate sprint planning, reviews, and retrospectives. 
• Maintain project documentation and roadmap.

Requirements:

• 3+ years of experience in IT project management or coordination. 
• Understanding of Microsoft Azure ecosystem (Storage, Key Vault, App Service, Function Apps, DevOps). 
• Familiarity with AI/ML workflows, including RAG, embeddings, model deployment. 
• Knowledge of Agile/Scrum practices and tools (Jira, Confluence, Trello, Notion). 
• Strong communication and organizational skills. 
• English — Upper-Intermediate+ for technical communication.

We offer:

• Opportunity to work on a high-impact AI transformation project with real business value. 
• Direct influence on project roadmap and delivery. 
• Collaboration with an experienced engineering team. 
• Flexible schedule and remote/hybrid work format.

Send your CV.
We will contact you shortly.

About the project:
We’re developing a corporate AI Assistant based on Azure — a chatbot that helps all company departments efficiently search, analyze, and generate documents, as well as manage internal knowledge and templates.

We already have a Cloud Architect, DevOps, and Data/LLM Engineer on board — and now we’re looking for a hands-on Back-End Developer (Middle) to strengthen the team on the implementation side.

Responsibilities:

• Develop and maintain REST APIs connecting Chat UI ↔ GPT ↔ Cognitive Search ↔ Blob Storage.
• Integrate Azure services (Functions, Key Vault, App Service, Storage).
• Optimize backend performance (request handling, caching, logging).
• Implement authorization, validation, and secure data access.
• Handle document formats (JSON, DOCX, PDF) for generation and output.
• Write unit and integration tests.

• Contribute to code reviews and CI/CD pipelines (Azure DevOps / GitHub Actions).

   

Tech stack:

• Languages: Python 3.9+
• Frameworks: FastAPI / Flask
• Cloud: Microsoft Azure (Functions, App Service, Cognitive Search, Key Vault, Blob Storage)
• Other: Docker, Redis, REST API, OAuth2 / JWT, Postman, PyTest
• Nice to have: LangChain, OpenAI API, or Azure OpenAI experience

 We expect:

• 2–3 years of commercial experience in Python backend development.
• Understanding of RAG architecture or experience integrating AI/ML APIs.
• Experience with CI/CD pipelines in cloud environments (Azure / AWS / GCP).
• Self-driven, detail-oriented, and proactive mindset.

We offer:

• Opportunity to work on an innovative AI project used across all company departments.
• Direct influence on backend architecture and technical decisions.
• Flexible schedule and remote format.

• Possibility to continue as the project scales across the organization.

   

📨 Apply:
Send your CV .
We’ll get in touch shortly to schedule a brief technical conversation.