2 months ago
Pune, IndiaSenior
Responsibilities
- Design, build, and lead feature development across ChampionAI platform repositories.
- Architect, maintain, and evolve MCP tool servers and multi-agent infrastructure.
- Improve system architecture, developer tooling, scaffolding, documentation, and onboarding.
- Debug complex technical issues, performance bottlenecks, and cloud-native agent-platform problems.
- Lead code and architecture reviews focused on prompt quality, scope enforcement, security/authentication configuration, and deployment setup.
- Mentor junior engineers and Applied AI engineers while establishing engineering standards and architectural guidance.
- Partner with DevOps, Cloud, and business-unit engineers on Kubernetes manifests, database registration, and feature-flag and prompt rollouts.
- Design and implement Champion agents for high-impact business-unit use cases.
Requirements
- 5+ years of software development experience in enterprise SaaS environments, or 3+ years with a master's degree.
- Strong experience with Python, Golang, and cloud-native AI-driven systems.
- Understanding of Model Context Protocol, Agent-to-Agent protocol, multi-agent architectures, prompt engineering, and evaluation design.
- Proficiency with Python async development, FastAPI, Pydantic, pytest, pytest-asyncio, DeepEval, Docker, PostgreSQL, and Git.
- Demonstrated ability to independently lead feature development, architectural reviews, and cross-team technical decisions.
- Experience mentoring junior engineers and setting engineering standards.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Preferred: AWS services including ECR, EKS, and Bedrock; Kubernetes; Terraform; LaunchDarkly; Cursor; and Claude Code.
- Preferred: M.S. or M.Tech in Computer Science, AI, or ML, and experience in manufacturing or industrial software.
Benefits
- Health and well-being programs supporting work-life balance.
- Opportunity to join a growing business undergoing expansion and transformation.
- Collaborative culture with opportunities for growth, idea-sharing, and professional development.
- 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.