LLM Developer
25 200 - 31 080 PLN/ mies.B2B (netto)
SeniorFull-time·B2B
#346404·Dodano wczoraj·0
Źródło: nofluffjobs.comTech Stack / Keywords
PythonLangChainLangGraphCrewAIAzureAIAzure Open AIVector databases
Wymagania
- Strong hands-on Python development (mandatory).
- Experience with GenAI frameworks (LangChain, LangGraph, CrewAI).
- Deep understanding of agentic reasoning, orchestration, and tool integration.
- Experience with Azure AI Foundry and Azure OpenAI.
- Familiarity with vector databases (Azure AI Search, Pinecone, Weaviate, OpenSearch).
- Understanding of tokenisation, context windows, rate limits, and cost optimisation.
- API integration, async programming, and resilient error handling patterns.
- Strong knowledge of Responsible AI risks and mitigation.
- Production-first mindset (observability, resilience, scalability).
- Ability to balance innovation with compliance and safety.
- Strong documentation and architectural communication skills.
Obowiązki
- Design and implement end-to-end GenAI solutions using Python.
- Build agentic workflows using frameworks such as LangGraph, tool/function calling, MCP, and multi-agent orchestration.
- Develop robust RAG pipelines including ingestion, chunking, embeddings, vector search, re-ranking, and grounding validation.
- Implement memory strategies (short-term, long-term, summarised, vector-based memory).
- Integrate and evaluate multiple LLM models (e.g., GPT-4.x series, GPT-4o).
- Develop structured output and tool-calling systems with schema enforcement.
- Build evaluation frameworks covering hallucination detection, quality scoring, latency, and cost metrics.
- Implement Responsible AI guardrails including input/output filtering and fallback strategies.
- Collaborate with DevOps/LLMOps teams for deployment, monitoring, scaling, and cost optimisation.
Oferta
- Sport subscription
- Private healthcare
- Flat structure
Karta sportowa
Opieka zdrowotna
AVENGA (Agencja Pracy, nr KRAZ: 8448)
52 aktywne oferty