PUNE · FULLTIME
Software Engineer, Full Stack
QAD
Pune · onsite · Posted 42d ago
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Undisclosed2–7 yrsfulltimePune
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Section · 01
About this role
Job Description
ChampionAI is QAD | Redzones 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 YOULL 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
- Bachelors 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
observabilityDockerKubernetesBedrockPostgresqlclaudedeveloper experienceorchestrationpytestPramazon web servicesClaude CodecursorPydanticasyncioGolangdeploymentIndustrial SoftwareOnboardingFull StackManufacturingGITArtificial IntelligenceMachine Learning
Section · Company
About QAD
QAD
Software Product
163
employees
1979
47 years old
Santa Barbara
United States
₹12.5L PA avg
Avg at QAD
About
QAD specializes in manufacturing ERP solutions, focusing on enhancing productivity and collaboration within manufacturing businesses globally.
Industries
Software ProductHardware & Networking
Employee ratings
10 reviews
3.6/ 5
Culture
3.9
Career growth
2.9
Work-life
3.9
Employees rate it well for
Compensation & Benefits37Company Culture36
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