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Specialized AI role with 5+ years and moderate employer brand yields medium competition.
Highly technical agentic-AI specialization limits transferability across non-AI industries.
Explicit 5+ years plus required MCP, multi-agent, and cloud-native AI skills enforce high strictness.
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.
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.
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.