AI Data Engineering

About the Position

AI Data Engineering

Your journey matters – start it with us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development.

This is the job

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

• 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 Infrastructure 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)

Requirements

• 3+ years of experience 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 Infrastructure 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

• AG/LLM open-source or published evaluation work
• A GitHub profile showing real projects

We Offer

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

About the Company

Avenga

Avenga is a global company with over 6000 specialists providing a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development.

Locations

• Banja Luka, South-Eastern Europe, BA
• Skopje, South-Eastern Europe, MK
• Chișinău, South-Eastern Europe, MD

Application Process

1. APPLICATION: Send us your application, we are ready to hear your story and explore how we can grow together.
2. REVIEW: Our team carefully reviews every application with curiosity and care. If your profile isn’t the right fit today, we will keep it in mind for future opportunities that match your skills and ambitions.
3. TALENT ACQUISITION INTERVIEW: You will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.
4. TECHNICAL INTERVIEW: Our tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think – no trick questions, just a meaningful conversation.
5. CUSTOMER INTERVIEW: For some roles, especially when our clients are closely involved, you might also have a conversation with them – it’s a chance for everyone to align and get to know each other better.
6. JOB OFFER: If we both feel it’s the right match, we will send you an offer to join us. And even if it’s not the time just yet, you’ll always hear back from us.
7. WELCOME!: Your new team is excited to meet you, support you, and build something great together. Let’s make your first day the start of a journey that shapes a career that matters.