Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level fullstack title, metro location, and common experience make competition moderate despite niche agent expertise.
Niche agentic AI and MCP expertise raises domain bias, though core backend/frontend skills remain somewhat transferable.
Explicit 5+ years requirement plus mandatory Python/Go, MCP and multi-agent expertise makes filtering highly strict.
Own end-to-end design, development, and architecture of Champion core AI platform features, agent implementations, and multi-agent infrastructures.
Lead and optimize system architecture, developer tooling, and production deployments across cloud-native, agentic platform environments.
Provide technical leadership including mentoring junior engineers, leading cross-team architectural reviews, and establishing engineering standards.
5+ years software development experience in enterprise SaaS (3+ years with Master's degree) with specialization in Python and Golang for cloud-native AI systems.
Strong proficiency in Python async programming, FastAPI, Pydantic, pytest, Golang, Docker, PostgreSQL, and Git.
Deep understanding of Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, multi-agent architectures, prompt engineering, and evaluation design.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
Senior engineer comfortable with full ownership from design through deployment on complex AI-driven SaaS platforms in manufacturing or related domains.
Experienced in driving architectural decisions and collaborating cross-functionally across DevOps, cloud, and applied AI teams.
Skilled in mentoring, setting engineering standards, and independently managing feature development and complex code reviews.