Artificial Intelligence Engineer Em Sete Lagoas (pi)

Sky Systems, Inc.; Piauí; Presencial; BRL 167 400 - 279 000; Tempo integral

Resumo da oferta

Sky Systems, Inc. busca um Engenheiro de Inteligência Artificial em Sete Lagoas (PI) para integrar práticas de engenharia assistidas por IA em plataformas de desenvolvimento. Procuramos um profissional com mais de 8 anos de experiência em engenharia de plataforma e Dev Ops, além de habilidades em Python e AWS. O salário é a combinar e os benefícios não foram informados.

Qualificações

• 8+ anos de experiência em Engenharia de Plataforma, Dev Ops ou funções relacionadas.
• Experiência prática com APIs LLM e ferramentas de desenvolvedor assistidas por IA.
• Habilidades sólidas em desenvolvimento Python para automação.
• Experiência em avaliação e governança de ferramentas SaaS de IA.
• Uso diário de ferramentas como ChatGPT, Claude Code, entre outras.

Responsabilidades

• Promover uma cultura de engenharia focada em IA através de playbooks reutilizáveis.
• Definir e medir impacto usando métricas DORA e SPACE.
• Construir padrões reutilizáveis para geração de código assistida por IA.
• Gerenciar governança do uso de IA, incluindo monitoramento e relatórios.
• Desenvolver infraestrutura leve baseado em AWS suportando pipelines LLM.

Conhecimentos

Experiência em engenharia de plataformas

Desenvolvimento em Python

Familiaridade com ferramentas de IA

AWS

Habilidades de gestão de stakeholders

Definição de métricas

Ferramentas

GitHub Copilot

Terraform

GitLab CI/CD

Descrição da oferta de emprego

Cargo:

Artificial intelligence engineer em sete lagoas (PI) – sete lagoas

Requisitos

We are seeking an experienced AI Engineer to drive AI-first engineering practices and enable developer productivity at scale. This role sits at the intersection of Developer Experience, Platform Engineering, Dev Ops, and Applied AI, focused on integrating AI-assisted tooling, LLM workflows, and automation into the software development lifecycle.

Key Responsibilities

• Champion an AI-first engineering culture through reusable playbooks, golden-path templates, and best practices that improve developer productivity.
• Define and measure impact using DORA and SPACE metrics, driving improvements across engineering workflows.
• Build reusable patterns for:
  • AI-assisted code generation
  • Pull request automation
  • Test generation
  • Debugging workflows
  • Developer self-service enablement
• Evaluate, prototype, and lead POCs for AI tools, providing recommendations based on ROI, usability, technical merit, and stakeholder feedback.
• Manage AI usage governance, including:
  • Token budgeting and cost controls
  • Usage monitoring and reporting
  • PII redaction guardrails
  • Audit logging and responsible AI practices
• Develop lightweight AWS-based infrastructure supporting LLM pipelines, APIs, and AI integrations.
• Integrate AI tooling into Git Lab CI/CD, Git Ops workflows, and developer platforms.
• Instrument AI workflows with observability metrics and usage signals to support adoption and optimization.
• Partner with engineering leadership and cross-functional stakeholders to drive AI enablement initiatives.

Required Qualifications

8+ years of experience in Platform Engineering, Dev Ops, Developer Experience, or related engineering roles.

Strong hands‑on experience with LLM APIs and AI‑assisted developer tooling in production or enterprise settings.

Strong Python development skills for automation and AI workflow integrations.

Experience evaluating, procuring, or governing AI/SaaS tools, including vendor assessments, licensing, and cost management.

Practical daily usage of tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar.

Experience designing scalable developer workflows, internal platforms, or self-service engineering capabilities.

• Strong AWS experience, ideally including:
  • Bedrock
  • API Gateway
  • Managed AI/Cloud Services
  • Terraform, Helm, GitOps, and CI/CD pipelines (GitLab preferred)
• Strong observability mindset with experience defining meaningful metrics and instrumentation.
• Excellent communication and stakeholder management skills.

Preferred / Nice to Have Experience

• LLM Agents
• RAG pipelines
• Vector databases (Pinecone, pgvector, Open Search, etc.)
• LangChain / LlamaIndex
• Exposure to AI FinOps, usage reporting, and cost attribution models.
• Knowledge of AI governance and security, including OWASP Top 10 for LLMs, prompt injection risks, model supply chain security, responsible AI controls.
• Financial services or insurance domain experience is a plus.

Salário

A Combinar

Benefícios

Não informado