Position Description:

Responsibilities:
-Design, develop, and deploy autonomous and semi-autonomous AI agents to automate complex tasks across the software development lifecycle (SDLC).
-Design and implement MCP (Model Context Protocol) servers to integrate large language models (LLM) with internal systems, development tools, and enterprise data sources.
-Identify acceleration opportunities within the SDLC (code generation, code review, automated testing, documentation, deployment) and design tailored AI solutions.
-Develop robust prompt engineering pipelines and agent chains (multi-agent orchestration) to solve concrete business problems.
-Integrate generative AI solutions (LLM, RAG, agents) with existing DevOps tools (CI/CD, ticketing systems, version control, etc.).
-Collaborate with development, architecture, and operations teams to drive the adoption of AI practices within product teams.
-Ensure the quality, reliability, a...