Artificial Intelligence Engineer Em Vitória Da Conquista (ba)

Sky Systems, Inc.; Bahia; Presencial; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

A Sky Systems, Inc. está buscando um engenheiro de inteligência artificial para liderar iniciativas de habilitação de IA em Vitória da Conquista, BA. O candidato ideal deve ter mais de 8 anos de experiência em engenharia de plataformas, com habilidades práticas em APIs LLM e ferramentas de desenvolvedor. A posição permite trabalho 100% remoto em LATAM. O salário e benefícios serão discutidos durante o processo de seleção.

Qualificações

• 8+ anos de experiência em engenharia de plataformas ou funções relacionadas.
• Experiência forte com ferramentas de desenvolvedor assistidas por IA.
• Habilidades em integrar fluxos de trabalho de automação.

Responsabilidades

• Criar uma cultura de engenharia orientada por IA.
• Definir e medir impacto usando métricas DORA e SPACE.
• Gerenciar a governança de uso de IA.

Conhecimentos

Experiência em engenharia de plataformas

Experiência prática com APIs LLM

Habilidades em desenvolvimento Python

Experiência com GitHub Copilot

Experiência com AWS

Habilidades de comunicação

Ferramentas

Terraform

GitLab

Descrição da oferta de emprego

Cargo:

Artificial intelligence engineer em vitória da conquista (BA) – vitória da conquista

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

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, Chat GPT, 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 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, OpenSearch, 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