Software AI Engineer (AI Agent Platform)
QAD (company site, opens in a new tab)2+ yrsPuneHybridDirect career pageEst. 12–22 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deliver new features and platform capabilities for QAD | Redzone's ChampionAI agentic platform using trunk-based development.
- Support business unit Applied AI teams by reviewing, deploying, and operating production Champion agents and solving deployment or development bottlenecks.
- Design and build Champion agents for specific business use cases, including writing and iterating on system prompts and tool integrations.
Minimum Requirements
- Minimum 2 years of hands-on software development experience specializing in Python and AI-driven systems.
- Proficiency in Python (including async, FastAPI, Pydantic, pytest), Docker, PostgreSQL, Git, and knowledge of AI agent protocols like MCP and A2A.
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
- Work Experience Required: 2+ years explicitly mentioned.
Ideal Candidate Profile
- Experienced in AI agent orchestration, prompt engineering, and multi-agent architectures with production-grade deployment skills.
- Comfortable working closely with cross-functional AI teams on Kubernetes, LaunchDarkly feature flags, and production infrastructure.
- Strategic fit includes familiarity with manufacturing domain software and AI-native development tools such as Cursor, Claude Code, and DeepEval.