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

Organization Overview Company Description QAD | Redzone is redefining manufacturing and supply chains through an intelligent, adaptive platform that connects people, processes, and technology into a single System of Action. Founded in 1979 and headquartered in Miami, Florida, the company serves manufacturers across more than 100 countries in industries including automotive, consumer products, food and beverage, high technology, industrial equipment, and life sciences.

The platform is built on three core pillars: Redzone (frontline empowerment), Adaptive ERP (the intelligent backbone of manufacturing operations), and ChampionAI (Agentic AI purpose-built for manufacturing). Together, these enable manufacturers to achieve measurable productivity, resilience, and growth — in as little as 90 days.

Job Description ChampionAI is QAD | Redzone's agentic platform, purpose-built for manufacturing and used across all business units. As a junior-level Engineer, you will join the core platform team to build new platform capabilities, help Applied AI teams ship Champion agents correctly, and directly build Champion agents for business-unit use cases.

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.

Qualifications MUST-HAVE QUALIFICATIONS

• 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).

NICE-TO-HAVE

• Working knowledge of AWS (ECR, EKS, Bedrock), Kubernetes, and Terraform.
• M.S. / M.Tech in Computer Science, AI, or ML.
• Exposure to manufacturing or industrial software contexts.

Key Skills 🐍 Async Python & FastAPI, Golang Pydantic

• pytest
• FastAPI
• Docker
• PostgreSQL

🤖 Prompt Engineering & Orchestration MCP

• A2A
• Multi-agent Patterns
• Tool Bindings

🧪 Agentic Evaluation & Observability DeepEval

• pytest-asyncio
• Monitoring
• Logging

🛠 AI-Native Development Cursor

• Claude Code
• LaunchDarkly
• Git

EDUCATION

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• M.S. / M.Tech in Computer Science or AI/ML is a plus.

Additional Information

• Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business, launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.
• An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
• Compensation packages based on experience and desired skill set

About QAD QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.