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, 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 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, 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.