Senior AI Engineer
QAD (company site, opens in a new tab)5+ yrsPuneHybridDirect career pageEst. 22–38 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of ChampionAI core platform capabilities and multi-agent infrastructure for production deployments.
- Own feature development using trunk-based development and PR-gated merges, ensuring high code quality and technical leadership across teams.
- Mentor junior engineers and Applied AI teams while driving architectural standards, cross-team code reviews, and deployment pipelines.
Minimum Requirements
- 5+ years software development experience in enterprise SaaS environments, with at least 3 years holding a Master's degree.
- Strong expertise in Python (async, FastAPI, Pydantic, pytest), Docker, PostgreSQL, Git, and cloud-native AI-driven systems.
- Deep understanding of Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol, multi-agent architectures, prompt engineering, and evaluation design.
- Bachelor's degree in Computer Science, Engineering or related field; M.S./M.Tech in CS or AI/ML is a plus.
Ideal Candidate Profile
- Experienced senior AI engineer comfortable independently owning end-to-end development and architectural decisions in complex, cross-functional environments.
- Technical subject matter expert skilled in multi-agent AI architectures and platform infrastructure with leadership experience mentoring others.
- Proactive problem solver focused on optimizing developer experience, deployment reliability, and scalable agentic AI products.