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Job
Software Engineer, AI Agent Platform
Software Engineer
• Hybrid
• Full-time
•
Mexico, Mexico
Redzone (QAD)'s Champion AI platform team is hiring a Software Engineer to work across three areas: building platform capabilities, enabling Applied AI teams at partner business units, and directly building Champion agents for business-unit use cases. Fully remote role.
Responsibilities
- ▹Build and ship features across the Champion platform repositories
- ▹Improve developer experience: tooling, scaffolding, internal documentation, onboarding for Applied AI engineers
- ▹Maintain and evolve the MCP tool server and agent infrastructure
- ▹Support business-unit Applied AI engineers in building, deploying and operating Champions
- ▹Review agent implementations for prompt quality, scope enforcement, auth configuration, and deployment setup
- ▹Design and build Champion agents for business-unit use cases, writing system prompts and tool bindings
- ▹Register agents in Champion Server and configure LaunchDarkly-gated prompt rollout
Requirements
- ▹Proficient in async Python, Pydantic, type hints, and FastAPI
- ▹Experience with the Strands agent SDK or a comparable agentic framework
- ▹Testing expertise: pytest, pytest-asyncio, DeepEval for agent-specific evaluation; TDD is the expectation
- ▹Prompt engineering: writing and iterating on XML-structured, scope-enforced system prompts
- ▹Solid understanding of Model Context Protocol (MCP), hands-on experience building or consuming MCP servers
- ▹Familiarity with multi-agent architectures and orchestration patterns: supervisor/subagent delegation, parallel tool use, context management
- ▹Ability to design and run agent behavior evaluation suites
- ▹Docker: Dockerfiles, multi-stage builds, local dev via docker-compose/make
- ▹PostgreSQL: templated INSERT/SELECT, foreign key relationships, reading ER diagrams
- ▹Git/semantic versioning: conventional commit format, PR-based trunk workflow
Nice to have
- ▹Kubernetes: Deployments, Services, ConfigMaps, ServiceAccounts, basic kubectl troubleshooting
- ▹AWS: ECR, EKS, IAM, Bedrock inference layer
- ▹OAuth2/OIDC conceptual understanding: Authorization Code Flow with PKCE, token exchange
- ▹Beginner-level Terraform familiarity
- ▹LaunchDarkly experience managing feature flags or AI config overrides
- ▹Document intelligence/OCR experience (e.g. AWS Textract)
Soft skills
Active daily use of AI-assisted tools (Claude Code, Cursor)Knowing when AI output is wrong and pushing backSharing what works to drive team adoptionSmall, focused PRs; reviewing own diff before requesting review
About the company
Redzone (QAD | Redzone) is the #1 Connected Workforce Solution for manufacturers, providing frontline workers with tools and collaboration processes. Champion AI is QAD | Redzone's agentic platform purpose-built for manufacturing, used across the company's business units.
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