AI Data Engineering

About the Position

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

At the core of the role, the candidate will work on the core engine behind a production AI assistant: an agentic AI system focused on retrieval, LLM orchestration, and answer quality. The product is designed to evolve AI-powered customer support from simply answering questions to executing customer requests. Rather than only providing information (e.g., explaining a bill), the assistant is built to safely perform actions such as placing orders or activating services while operating within the rules and constraints of a regulated telecom environment.

We care far more about how candidates think about retrieval quality than which specific libraries or frameworks they've used. The technology stack can be learned; strong engineering judgment and problem-solving are what we're looking for.

Responsibilities

• Work on the core engine behind a production AI assistant
• Focus on retrieval, LLM orchestration, and answer quality
• Design and build RAG / retrieval-augmented generation systems
• Utilize vector databases and understand embeddings and similarity search
• Evaluate and validate LLM output quality
• Implement CI/CD pipelines and Infra as Code practices
• Write automated tests for unit and integration testing

Requirements

• 3+ years Proficiency in building production Python services (async, API design)
• Experience designing and building REST APIs (and consuming them); comfortable with request/response modelling, auth, and versioning
• Hands-on experience building RAG / retrieval-augmented generation systems: not just calling an LLM API, but chunking, retrieval, and grounding answers in sources (preferably LangChain, Langfuse, Llamaindex, FastAPI, Pydantic)
• Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, Qdrant, pgvector) and an understanding of embeddings and similarity search
• A habit of evaluating and validating LLM output quality (Azure OpenAI)
• RAG pipeline methodology and process for data ingestion, chunking/similarity search (for structured and unstructured data)
• CI/CD pipeline expertise (preferably GitHub)
• Familiarity with Infra as Code (Terraform) and API gateway
• Cloud expertise (preferably AWS)
• Writes automated tests as a matter of habit; unit and integration testing with pytest (mocking, fixtures)

Nice to Have

• Open-source contributions or published evaluation work
• A GitHub profile showing real projects

We Offer

• Competitive salary
• Opportunity to work with cutting-edge AI technologies
• Collaborative and innovative work environment
• Professional development opportunities

About the Company

Avenga is committed to providing equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are dedicated to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.

Locations

• Banja Luka, Bosnia and Herzegovina
• Skopje, North Macedonia
• Chișinău, Moldova

Application Process

1. APPLICATION: Send your CV to tell us about your core skills and what you're looking for next.
2. TALENT CALL: Meet our Talent team to talk about your goals and experience while exploring our culture and the way we work.
3. TECHNICAL INTERVIEW: We'll explore your experience, strengths, and approach to work to see what we can build together.
4. CUSTOMER INTERVIEW: For some roles, you'll meet our customers to understand the outcomes your expertise can help create.
5. WELCOME TO AVENGA: An offer is just the beginning. We welcome you to put your expertise into action and shape what's next together.