ChampionAI is QAD | Redzone's agentic platform, purpose-built for manufacturing and used across all business units. As a junior-level Engineer, you will join the core platform team to build new platform capabilities, help Applied AI teams ship Champion agents correctly, and directly build Champion agents for business-unit use cases.
WHAT YOU'LL DO
- Build and ship features across the Champion platform repositories using trunk-based development with PR-gated merges.
- Improve developer experience through tooling, scaffolding, internal documentation, and onboarding paths for Applied AI engineers.
- Maintain and evolve the MCP tool server and agent infrastructure that business unit teams depend on.
- Identify and address friction points that slow down Champion development or deployment.
- Support BU Applied AI engineers in building, deploying, and operating Champions correctly.
- Review agent implementations for prompt quality, scope enforcement, auth configuration, and deployment setup.
- Contribute to internal engineering guides and skill documentation.
- Pair with BU engineers on first K8S manifest creation, database registration, and LaunchDarkly prompt rollout.
- Design and build Champion agents for BU use-cases when the platform team is directly engaged.
- Write and iterate on system prompts, tool bindings, and context injection for production agents.
MUST-HAVE QUALIFICATIONS
- 2+ years of hands-on software development experience, specialising in Python, Golang and AI-driven systems.
- Proficiency in Python (async, FastAPI, Pydantic, pytest, pytest-asyncio, DeepEval), Docker, PostgreSQL, and Git.
- Valuable understanding of Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol, and multi-agent architectures.
- Experience with prompt engineering, agent orchestration, and evaluation design.
- Familiarity with LaunchDarkly and AI-native development tools (Cursor, Claude Code).
NICE-TO-HAVE
- Working knowledge of AWS (ECR, EKS, Bedrock), Kubernetes, and Terrafor
📌 Software Engineer, Full Stack (Pune)
🏢 QAD
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