Software Engineer, AI Agent Platform

🕒 Setembro 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 MX$55.000 - MX$85.000 / mês

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of QAD

QAD

1001 - 5000 funcionários

Fundada em 1979

🏭 Manufatura

📦 Logística

🍽️ Alimentos e Bebidas

Manufacturing • Logistics • Food & Beverage

A QAD é uma empresa especializada em soluções de planejamento de recursos empresariais e transformação industrial. Sua plataforma Adaptive Enterprise ajuda as empresas a otimizar processos, alinhar pessoas com tecnologia e gerenciar desafios empresariais críticos. As ofertas da QAD incluem software para manufatura, gestão de inventário, planejamento de cadeia de suprimentos, gestão da qualidade e conformidade com o comércio global. Suas soluções atendem uma variedade de indústrias, incluindo automotiva, produtos de consumo, alimentos e bebidas, manufatura industrial e mais. A empresa foca em se tornar uma empresa adaptável integrando agendamentos avançados e insights baseados em dados.

Descrição

• Build and ship features across Champion platform repositories • Improve developer experience through tooling, scaffolding, internal documentation, and onboarding paths • Maintain and evolve the MCP tool server and agent infrastructure • Identify and address friction slowing Champion development or deployment • 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 • Contribute to internal engineering guides and skill documentation • Pair with business-unit engineers on Kubernetes manifests, database registration, and LaunchDarkly prompt rollout • Design and build Champion agents for business-unit use cases • Write and iterate on system prompts, tool bindings, and context injection • Register agents in Champion Server and configure LaunchDarkly-gated prompt rollout • Follow trunk-based development with PR-gated merges • Write tests before implementation and keep pull requests small and focused • Use feature flags for incremental releases and maintain API/schema backward compatibility

🎯 Requisitos

• Proficient in async Python, Pydantic, type hints, and FastAPI • Experience with the Strands agent SDK or a comparable agentic framework • Comfortable with pytest, pytest-asyncio, and DeepEval • Able to write and iterate on production system prompts • Solid understanding of MCP and hands-on experience building or consuming MCP servers • Familiarity with multi-agent architectures and orchestration patterns • Able to design and run evaluation suites for agent behavior • Comfortable authoring Dockerfiles, multi-stage builds, and docker-compose / make environments • Comfortable with templated PostgreSQL INSERT/SELECT, foreign key relationships, and ER diagrams • Follows conventional commit format and PR-based trunk workflow • Working knowledge of Kubernetes Deployments, Services, ConfigMaps, and ServiceAccounts is nice to have • Working knowledge of AWS ECR, EKS, IAM, and Bedrock is nice to have • Conceptual understanding of OAuth2/OIDC is nice to have • Beginner-level Terraform familiarity is nice to have • LaunchDarkly experience is nice to have • AWS Textract or comparable OCR/document-intelligence experience is nice to have • Comfortable using Claude Code and Cursor • Work authorization in Mexico required; visa sponsorship is not offered

🏖️ Benefícios

• Remote work • Opportunities for growth • AI-assisted development tools and workflow

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