Artificial intelligence engineer at Sky Systems, Inc.

Cargo Artificial intelligence engineer
Publicado 06 May 2026
Expirado 05 Jun 2026
Empresa Sky Systems, Inc.
Localização Atibaia | BR
Tipo de Contrato Full Time

Descrição da Função:

Últimas informações de emprego de Sky Systems, Inc. para o cargo de Artificial intelligence engineer. If the Artificial intelligence engineer vaga em Atibaia corresponde às suas qualificações, submeta a sua candidatura ou CV atualizado diretamente através do portal Jobkos.

Tenha em atenção que candidatar-se a um emprego exige o cumprimento de requisitos da empresa. Esperamos que a oportunidade em Sky Systems, Inc. para o cargo de Artificial intelligence engineer abaixo seja adequada ao seu perfil.

Título da vaga ou palavra-chave: AI Engineer Cargo Type: Full-Time Contract (40hrs/week) Contract Duration: Long Term Work Schedule:8 hours/day (Mon-Fri) Work Hours: PST Localização:100% Remote - (Candidates can work from anywhere in LATAM Countries)Overview We are seeking an experienced AI Engineerto drive AI-Primeira 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-Primeira engineering culturethrough 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 toolingin production or enterprise settings. Strong Python development skills for automation and AI workflow integrations. Experience evaluating, procuring, or governing AI/Saa S tools , including vendor assessments, licensing, and cost management. Practical daily usage of tools such as Git Hub 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 Experience with Terraform, Helm, Git Ops, and CI/CD pipelines(Git Lab 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.) Lang Chain / Llama Index Exposure to AI Fin Ops , 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.

Informação da Vaga:

  • Empresa: Sky Systems, Inc.
  • Cargo: Artificial intelligence engineer
  • Local de Trabalho: Atibaia
  • País: BR

Como enviar a sua candidatura:

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