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Salary
≈ $48k – $124k per year (Estimated)
Location
In office (Skopje, Ohrid, Bitola)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 23, 2026. Avenga scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Avenga is a global IT engineering and technology consultancy specializing in custom software development and enterprise digital transformation. Headquartered in Prague, Czech Republic, the company operates across key service areas including custom software engineering, AI and data solutions, cloud platform engineering, managed IT operations, and experience design (CX/UX).

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

You'll be working on the core engine of a production AI assistant, developing Agentic AI solutions using RAG and LLM orchestration to enable the assistant to move beyond answering questions and safely execute real customer requests.

Core skills you’ll bring

  • 3+ years 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

  • Experience with any vector database (e.g. Milvus, Pinecone, Weaviate, Qdrant, pgvector) and an understanding of embeddings and similarity search

  • Worked with an LLM provider (OpenAI / Azure OpenAI / Anthropic / open models) in production

  • A habit of evaluating output quality, you can explain how you measured whether a RAG system was good

  • Writes automated tests as a matter of habit unit and integration testing with pytest (mocking, fixtures)

    Comfortable with GitHub in a team workflow, feature branches, pull requests, and code review

Nice-to-have:

  • LlamaIndex (or LangChain) framework experience

  • Milvus specifically

  • Azure OpenAI deployments

  • LLM observability / tracing (Langfuse, LangSmith, OpenInference)

    FastAPI, Pydantic

  • WebSocket / streaming APIs for real-time chat responses

  • API tooling and testing: Bruno / Postman, OpenAPI/Swagger; API gateways

  • Async & parallel testing and mocking AWS

  • Modern Python tooling: uv, ruff, ty/mypy, pre-commit

  • CI/CD with GitHub Actions, and trunk-based development with Conventional Commits

  • AWS (ECS/Fargate, Secrets Manager), Terraform, Docker

  • Multilingual NLP (Dutch/English)

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

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