job specification

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.