
Senior AI Engineer
SNI
Wrocław, DL, Poland • 9m ago • On-site
Senior
On-site
130 - 140 PLN/yr
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Quick Facts
- Role: Senior AI Engineer
Description
Design, implement, and scale core AI capabilities and agent workflows for the Dev Team Assistant (DTA) platform. Build intelligent routing and multi-assistant orchestration patterns, optimize response quality and RAG retrieval accuracy, and integrate domain-specific assistants and external enterprise services. Own key technical decisions, define the long-term AI application architecture, and establish AI observability and automated evaluation pipelines.
Responsibilities
- Design, implement, and scale core AI capabilities and agent workflows for the DTA platform.
- Build and refine intelligent routing, dynamic agent coordination, and multi-assistant orchestration.
- Optimize response quality, inference latency, system throughput, and RAG retrieval accuracy.
- Take ownership of key technical decisions and define long-term AI application architecture.
- Integrate newly developed domain-specific assistants and external enterprise services into the central platform.
- Implement robust AI observability, automated evaluation pipelines, and DevSecOps best practices.
- Mentor and support delivery in an agile, cross-functional team.
Requirements
- Hands-on software engineering background in Python.
- Production experience building LLM-powered applications, multi-agent systems, and enterprise RAG architectures.
- LangGraph and/or LangChain expertise for stateful workflow orchestration.
- Experience evaluating, benchmarking, and optimizing LLM and agent outputs.
- Experience building and deploying high-performance APIs with FastAPI.
- Cloud deployment experience using Azure OpenAI Service and Azure Web Apps.
- Ability to solve problems proactively in emerging tech areas.
- Professional working proficiency in English.
Benefits
- Senior technical ownership with long-term architecture influence.
- Opportunity to build and scale AI agents, orchestration, RAG systems, and evaluation/observability pipelines.
- Agile, cross-functional delivery with senior mentorship and collaboration.
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