Artificial Intelligence Engineer Em Santos (pi)

Sky Systems, Inc.; Piauí; Presencial; BRL 398 208 - 547 536; Tempo integral

Resumo da oferta

Sky Systems, Inc. is looking for an experienced AI Engineer to join a remote team servicing LATAM. This role requires strong skills in Platform Engineering, DevOps, and AI-assisted development tools. The ideal candidate should have over 8 years of experience, particularly with LLM APIs and Python automation. Key responsibilities include promoting an AI-first culture and developing AI tools to enhance developer productivity. This is a full-time role with a flexible remote work schedule.

Qualificações

• 8+ years of experience in Platform Engineering, DevOps, or related roles.
• Strong hands-on experience with LLM APIs and AI-assisted developer tooling.
• Strong Python development skills for automation and AI workflow integrations.

Responsabilidades

• Champion an AI-first engineering culture through reusable playbooks.
• Build reusable patterns for AI-assisted code generation.
• Evaluate, prototype, and lead POCs for AI tools.

Conhecimentos

Platform Engineering

DevOps

AI-assisted developer tooling

Python automation

AWS

Terraform

CI/CD pipelines

Excellent communication

Ferramentas

GitHub Copilot

GitLab

Claude Code

ChatGPT

Descrição da oferta de emprego

Cargo:

Artificial intelligence engineer em santos (PI) – santos

Requisitos

• Job Title: AI Engineer
• Position Type: Full-Time Contract (40hrs/week)
• Contract Duration: Long Term
• Work Schedule: 8 hours/day (Mon-Fri)
• Work Hours: PST
• Location: 100% Remote - (Candidates can work from anywhere in LATAM Countries)

Overview

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. The ideal candidate will bring hands‑on experience with LLM APIs, AI developer tooling, Python automation, cloud infrastructure, and developer productivity metrics, while helping shape internal AI governance, adoption frameworks, and scalable engineering “golden paths.”

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 GitLab CI/CD, GitOps 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, DevOps, 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.
• Experience with 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

• Contributing to an AI Enablement function, Developer Experience program, or Center of Excellence.
• Hands‑on experience with:
  • LLM Agents
  • RAG pipelines
  • Vector databases (Pinecone, pgvector, Open Search, etc.)
  • LangChain / Llama Index
• 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