Senior GenAI Engineer
3 tygodni temu
We are looking for an experienced GenAI Engineer to build and scale backend services for AI-powered chat and agentic systems. The role combines strong backend engineering fundamentals with deep expertise in LLM integration, prompt engineering, and agentic workflow design, including data ingestion and retrieval pipelines
Responsibilities
Design, build, and maintain backend services primarily in Python (with Go or Rust as a plus)
Integrate and orchestrate LLMs for chat and agentic workflows
Design and improve prompt engineering, prompt chaining, and tool/function calling
Build data ingestion pipelines (parsing, normalization, chunking, enrichment)
Implement and optimize RAG pipelines including embeddings, vector search, and rerankingWork with PostgreSQL and vector databases (e.g., Qdrant)
Develop scalable and reliable systems running on Kubernetes
Contribute to system scalability and performance as well as bug fixing and stability
Ensure observability, reliability, and clean engineering practices in production systems
Requirements
5+ years of experience as a backend engineer
Strong proficiency in Python (FastAPI, Django, or similar frameworks)
Hands-on experience with LLM-based systems (chatbots, assistants, agents)
Experience with prompt engineering and agentic workflows
Solid experience with RAG architectures, including chunking and reranking
Experience with vector databases
Strong understanding of backend system design and scalability
Experience with Kubernetes and cloud-native architectures
Experience with PostgreSQL
Nice to Have
Experience with Go or Rust
Familiarity with agent frameworks (LangChain, LlamaIndex, etc.)
Experience with AI evaluation, monitoring, and observability
Experience with high-load or real-time systems
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