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Software Engineer, AI Agent Platform

Software Engineer • Hybrid • Full-time Mexico 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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