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)OverviewWe are seeking an experiencedAI Engineerto drive AI-first engineering practices and enable developer productivity at scale. This role sits at the intersection ofDeveloper Experience, Platform Engineering, DevOps, 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 withLLM 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 anAI-first engineering culturethrough reusable playbooks, golden-path templates, and best practices that improve developer productivity. Define and measure impact usingDORA 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 leadPOCs 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 supportingLLM pipelines, APIs, and AI integrations. Integrate AI tooling intoGitLab 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 inPlatform Engineering, DevOps, Developer Experience, or related engineering roles. Strong hands-on experience withLLM APIs and AI-assisted developer toolingin production or enterprise settings. Strong Python development skills for automation and AI workflow integrations. Experience evaluating, procuring, or governingAI/SaaS tools, including vendor assessments, licensing, and cost management. Practical daily usage of tools such asGitHub 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 withTerraform, 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 anAI 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 toAI FinOps, usage reporting, and cost attribution models. Knowledge ofAI 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.