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Generalist fullstack title, junior-mid level, Pune metro, and broad AI/backend/frontend requirements increase competition.
Core cloud, backend, and AI-agent skills are transferable, though MCP/A2A agent protocols are domain-specific.
Mandatory 2+ years and required Python, Golang, AI-agent stack make filters strict.
Develop, maintain, and ship new features across the Champion platform repositories using trunk-based development with PR-gated merges.
Support Applied AI business unit teams by building, deploying, operating, and reviewing Champion agents including prompt engineering and deployment configuration.
Improve developer experience through tooling, documentation, onboarding support, and infrastructure evolution for the multi-agent platform environment.
2+ years of hands-on software development experience specializing in Python, Golang, and AI-driven systems.
Proficiency in Python async programming, FastAPI, Pydantic, pytest (including pytest-asyncio), Docker, PostgreSQL, and Git.
Good understanding of Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol, multi-agent architectures, prompt engineering, agent orchestration, and evaluation design.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Experienced in software development within AI-driven systems and multi-agent platforms, able to contribute to core platform capabilities and agent design.
Proficient in developing asynchronous Python services and Golang backend along with experience in prompt engineering and AI-native dev tools.
Capable of collaborating with business unit Applied AI engineers on Kubernetes manifest creation, deployment, and agent operation in complex manufacturing software environments.