Software Engineer, Full Stack (Python & Golang backend + Frontend) - PUNE

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.

Good 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 Terraform.

M.S. / M.Tech in Computer Science, AI, or ML.

Exposure to manufacturing or industrial software contexts.

KEY SKILLS 🐍 Async Python & FastAPI, Golang Pydantic · pytest · FastAPI · Docker · PostgreSQL 🤖 Prompt Engineering & Orchestration MCP · A2A · Multi-agent Patterns · Tool Bindings 🧪 Agentic Evaluation & Observability DeepEval · pytest-asyncio · Monitoring · Logging 🛠 AI-Native Development Cursor · Claude Code · LaunchDarkly · Git EDUCATION Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

M.S. / M.Tech in Computer Science or AI/ML is a plus.