8 hours ago
Pune, IndiaEntry Level
Responsibilities
- Build and ship full-stack features across ChampionAI platform repositories using trunk-based development and pull-request-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 used by business-unit teams.
- Support Applied AI engineers with building, deploying, and operating Champion agents correctly.
- Review agent implementations for prompt quality, scope enforcement, authentication configuration, and deployment setup.
- Pair with business-unit engineers on Kubernetes manifests, database registration, and LaunchDarkly prompt rollouts.
- Design and build Champion agents, including system prompts, tool bindings, and context injection, for business-unit use cases.
Requirements
- At least 2 years of hands-on software development experience specializing in Python, Golang, and AI-driven systems.
- Proficiency with Python async development, FastAPI, Pydantic, pytest, pytest-asyncio, DeepEval, Docker, PostgreSQL, and Git.
- Understanding of the Model Context Protocol, Agent-to-Agent protocol, and multi-agent architectures.
- Experience with prompt engineering, agent orchestration, and evaluation design.
- Familiarity with LaunchDarkly and AI-native development tools such as Cursor and Claude Code.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Preferred qualifications include AWS, ECR, EKS, Bedrock, Kubernetes, and Terraform experience; an M.S. or M.Tech in Computer Science, AI, or ML; and exposure to manufacturing or industrial software.
Benefits
- Health and well-being programs supporting work-life balance.
- Opportunity to join a growing business during expansion and transformation.
- Collaborative culture with opportunities for growth, idea-sharing, and professional development.
Tech Stack
Categories
About QAD, Inc.
QAD builds cloud-based ERP and supply chain software for manufacturing companies, with offerings like QAD Adaptive ERP and the Redzone Connected Workforce platform, sold primarily by subscription with professional services. Its products target mid-market firms across automotive, industrial, food & beverage, life sciences, and consumer goods, embedding workflow and shop-floor capabilities. Founded in 1979 and headquartered in Miami, QAD is privately held and owned by Thoma Bravo.