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Popular mid-level fullstack title, Pune metro, broad AI/backend/frontend requirements.
Core Python/Golang and agent skills are transferable, but agentic AI and manufacturing context increase specificity.
Explicit 2+ years plus many mandatory tech and AI-agent skills create strict filtering.
Develop and maintain the Champion AI platform, including building features, agent infrastructure, and deployment support.
Improve developer experience via tooling, documentation, and onboarding tailored for Applied AI engineers.
Collaborate with business unit teams to design, deploy, and review Champion AI agents using Kubernetes, LaunchDarkly, and prompt engineering techniques.
2+ years of software development experience with Python and Golang, focusing on AI-driven systems.
Proficient in async Python, FastAPI, Pydantic, pytest, Docker, PostgreSQL, Git, and AI-native development tools such as Cursor and Claude Code.
Good understanding of Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, and multi-agent architectures including prompt engineering and orchestration.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Experienced with backend AI platform development and capable of working on both platform and agent-level engineering tasks.
Familiar with prompt engineering, multi-agent system design, and deployment tooling such as Kubernetes and LaunchDarkly.
Comfortable operating in complex AI-native software environments within manufacturing or industrial domains (though industry experience is optional).