Job Description

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 recent 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 Launch Darkly 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.

Qualifications

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,



Deep Eval), 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 Launch Darkly and AI-native development tools (Cursor, Claude Code).

NICE-TO-HAVE

- Working knowledge of AWS (ECR, EKS, Bedrock), Kubernetes, and Terraform.
- / 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

Deep Eval · pytest-asyncio · Monitoring · Logging

AI-Native Development

Cursor · Claude Code · Launch Darkly · Git

EDUCATION

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- / in Computer Science or AI/ML is a plus.

Additional Information

- Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
- Opportunity to join a growing business, launching into its next phase of expansion and transformation.
- Collaborative culture of smart and hard-working people who support one another to get the job done.
- An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
- Compensation packages based on experience and desired skill set

📌 Software Engineer, Full Stack (Python & Golang backend + Frontend) - PUNE (India)
🏢 QAD
📍 India