AI Data Engineer

🕒 July 11

🇨🇿 Czechia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Avenga

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

💰 Private equity on 2017-02

Consulting • Manufacturing • Healthcare

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Work on the core engine behind a production AI assistant • Focus on retrieval, LLM orchestration, and answer quality • Evolve AI-powered customer support from answering questions to executing requests • Safely perform actions like placing orders or activating services in a regulated telecom environment

🎯 Requirements

• 3+ years • Proficiency in building production Python services (async, API design) • Experience designing and building REST APIs (and consuming them) • Hands-on experience building RAG / retrieval-augmented generation systems (preferably LangChain, Langfuse, Llamaindex, FastAPI, Pydantic) • Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, Qdrant, pgvector) and understanding of embeddings and similarity search • Evaluating and validating LLM output quality (Azure OpenAI) • Data ingestion and 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 habit (unit and integration testing with pytest) • AG/LLM open source or published eval work, a GitHub profile showing real projects is a plus

🏖️ Benefits

• Equal opportunities in recruitment and career development • Fostering a work environment for diverse community