QAD, Inc.

Software Engineer, AI Agent Platform

QAD, Inc.
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6 days ago
Remote, Mexico or Monterrey, MexicoSenior

Responsibilities

  • Build and ship features across Champion platform repositories.
  • Improve developer experience through tooling, scaffolding, documentation, and onboarding paths.
  • Maintain and evolve the MCP tool server and agent infrastructure.
  • Support business-unit Applied AI engineers with Champion development, deployment, and operations.
  • Review agent implementations for prompt quality, scope enforcement, authentication configuration, and deployment setup.
  • Pair with business-unit engineers on Kubernetes manifests, database registration, and LaunchDarkly prompt rollouts.
  • Design and build Champion agents for business-unit use cases.
  • Write and iterate on system prompts, tool bindings, and context injection for production agents.
  • Register agents in Champion Server and configure environment-gated prompt rollouts.
  • Write tests before implementation and follow trunk-based development, small pull requests, feature flags, conventional commits, and backward-compatible API and schema changes.

Requirements

  • Proficiency in async Python, Pydantic, type hints, and FastAPI.
  • Experience with the Strands agent SDK or a comparable agentic framework.
  • Comfort with pytest, pytest-asyncio, and DeepEval for agent-specific evaluation.
  • Ability to write and iterate on production XML-structured, scope-enforced system prompts and tool descriptions.
  • Hands-on experience building or consuming Model Context Protocol servers.
  • Familiarity with multi-agent architectures, orchestration, delegation, parallel tool use, handoffs, and cross-agent context management.
  • Ability to design and run agent evaluation suites covering correctness, scope enforcement, regressions, and prompt iteration.
  • Comfort authoring Dockerfiles, multi-stage builds, and local development environments with docker-compose and make.
  • Comfort with templated PostgreSQL INSERT/SELECT queries, foreign-key relationships, and ER diagrams.
  • Ability to follow conventional commit formats and pull-request-based trunk workflows.
  • Working knowledge of Kubernetes Deployments, Services, ConfigMaps, ServiceAccounts, manifests, and kubectl is a plus.
  • Working knowledge of AWS ECR, EKS, IAM, and Bedrock is a plus.
  • Conceptual understanding of OAuth2/OIDC Authorization Code Flow with PKCE, token exchange, and agent authentication delegation is a plus.
  • Beginner-level Terraform familiarity is a plus.
  • LaunchDarkly experience is a plus.
  • AWS Textract or comparable document intelligence and OCR pipeline experience is a plus.
  • Comfort using Claude Code and Cursor throughout planning, implementation, review, and documentation, and evaluating AI-generated output critically.
  • Work authorization in Mexico is required.

Benefits

  • Fully remote work arrangement based in Mexico.
  • Visa sponsorship is not offered.
  • Opportunity to work on ChampionAI, an agentic platform for manufacturing and supply-chain use cases.
  • Inclusive workplace committed to diversity, equity, and inclusion.
QAD, Inc.

About QAD, Inc.

1,001-5,000 employees
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