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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