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

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Skills you'll use

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.

Who can apply

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

About QAD, Inc.

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