23 hours ago
Pune, IndiaEntry Level
Responsibilities
- Build and ship features across Champion platform repositories using trunk-based development and 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 used by business-unit teams.
- Support Applied AI engineers in 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 manifest creation, database registration, and LaunchDarkly prompt rollouts.
- Design and build Champion agents for business-unit use cases, including system prompts, tool bindings, and context injection.
- Contribute to internal engineering guides, skills documentation, and agent evaluation workflows.
Requirements
- 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 Model Context Protocol, Agent-to-Agent protocol, and multi-agent architectures.
- Experience with prompt engineering, agent orchestration, and evaluation design.
- Familiarity with LaunchDarkly, Cursor, and Claude Code.
- Working knowledge of AWS, including ECR, EKS, and Bedrock; Kubernetes and Terraform are nice-to-have qualifications.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- A master’s degree or M.Tech in Computer Science, AI, or ML is preferred.
- Exposure to manufacturing or industrial software contexts is preferred.
Benefits
- Health and well-being programs supporting work-life balance.
- Opportunity to join a growing business during expansion and transformation.
- Collaborative culture with supportive colleagues.
- Growth and advancement opportunities with an emphasis on idea-sharing over hierarchy.
- Compensation packages based on experience and desired skill set.
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.