Head of AI Engineering

eversynced Latin America
Remote
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AI Summary

We are seeking a Head of AI Engineering to own AI engineering enablement across Eversynced. This role will focus on applied AI research, team enablement, and identifying client value and product/service opportunities. The ideal candidate will have strong communication, writing, and verbal skills, as well as experience working remotely on Staff+ positions.

Key Highlights
Applied AI research
Team enablement
Client value and product/service opportunities
Key Responsibilities
Applied AI research
Team enablement
Identify AI-driven opportunities
Create internal resources
Package offerings
Technical Skills Required
TypeScript React SwiftUI Kotlin Node Python CI/CD Terraform AWS
Benefits & Perks
20 days PTO
100% remote work
Transparency of pay
Annual salary reviews

Job Description


About Us


We integrate our clients with high-performing LATAM engineers. We’re an engineer-first company with a model built around real collaboration and ongoing support that keeps our team performing at their best.

We work with startups solving complex problems in the social network, fintech, data, and AI industries. We build strong partnerships by adding value beyond code - we leverage AI to maximize productivity and we focus on real impact to our clients.

Rockstar, ninja, guru? No, thanks.

Friendly, hardworking, thoughtful? Yes, please.

If you are a manager of one, friendly, hardworking, thoughtful, and you care deeply about doing great work, then you'll do just fine here.


Role Description


This is a full-time remote role for a Head of AI Engineering to own AI engineering enablement across Eversynced. This is an IC role with expectations at the Staff+ level reporting to the CEO.

You'll focus on 3 areas:


1- Applied AI research

  • Track AI trends that matter for real software delivery: model capabilities, tradeoffs, reliability, latency, and cost.
  • Stay current on developer tooling and new capabilities (IDEs, copilots, agents, orchestration, evaluation tooling, MCP integrations).
  • Maintain a clear internal point of view: what we adopt, what we trial, what we avoid, and why.


2- Team enablement

  • Elevate our engineers through:
  • hands-on trainings and workshops,
  • 1:1 pair programming sessions,
  • group pairing sessions using real scenarios and patterns engineers face in client work.
  • Overcome the challenge of our engineers working in client repos we don't control to roll out and standardize workflows like spec-driven development and multi-agent approaches that work inside real teams.
  • Create internal resources engineers can reuse: templates, checklists, examples, guardrails, and short how-to docs.


3- Identify client value and product/service opportunities

  • Identify AI-driven opportunities that fit team augmentation:
  • AI enablement for their engineers (e.g. training, workflow rollout),
  • AI workflow audits and playbooks tailored to their constraints,
  • onboarding acceleration, codebase comprehension, testing quality, release confidence, incident response.
  • Package what we do into simple offerings we can sell alongside augmentation - and eventually evolve into products.


Some level of travelling is expected for this role (in-person work, meeting clients, conferences, etc).


Must Have Qualifications


  • Strong communication, writing and verbal.
  • Experience working remotely on Staff+ positions.
  • Strong experience shipping with various languages and frameworks across the stack:
  • Frontend and mobile development (TypeScript with React, SwiftUI, Kotlin)
  • Backend development (TypeScript with Node, Python)
  • Devops / infrastructure / developer productivity (CI/CD, Terraform, AWS)
  • Strong practical AI engineering skills applied to real delivery (not just prototypes).
  • Cursor
  • Claude Code
  • Codex


What We Offer


  • 20 days PTO.
  • 100% remote work.
  • Transparency of pay.
  • Annual salary reviews.


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