AI Engineering Manager

ExpoPlatform; United States; A distancia; USD 150.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AI tools access

Fast growth in international team

Mon-Fri, 8 hours

Descripción de la vacante

ExpoPlatform is seeking an AI Engineering Manager who writes code and leads a team to deliver AI-driven software. You will shape a standardized AI-enabled engineering workflow, build reusable AI artifacts, and enforce guardrails for quality and security while mentoring engineers to work with AI agents effectively.

You will stay close to code, guide architecture decisions, and drive an agile delivery model with measurable outcomes, collaborating with Product and Design to align with the roadmap.

Formación

• 3+ years leading software engineering teams, with a strong hands-on engineering background before and during that time.
• You still code.
• Solid experience with backend systems (PHP, TypeScript/Node.js or similar) and modern architecture: microservices, DDD, event-driven design.
• Proven experience designing and rolling out an AI-assisted SDLC in a real team, not only personal use.
• Be ready to show what you built.
• Daily, deep use of AI coding agents (Claude Code, Codex) and a clear view of where they help and where they fail.
• Experience creating AI artifacts: specs, prompts, skills, agents or MCP-based integrations used by others.
• Good grasp of how LLMs work in practice: context, hallucinations, evaluation, cost and security risks.
• Experience with AWS or GCP, CI/CD pipelines and test automation.
• Strong Agile delivery background and comfort with engineering metrics.
• Excellent communication and stakeholder management in English.

Responsabilidades

• AI-driven delivery: Own and evolve our AI SDLC with spec-driven development, agent-assisted coding, AI code review, automated testing and release.
• Build reusable AI artifacts for the team: skills, prompts, agent configurations, MCP integrations, specs and templates.
• Set guardrails for AI usage: code quality, security, PII handling and when a human must stay in the loop.
• Measure AI impact with real data (cycle time, throughput, defect rate, DORA).
• Hands-on engineering: stay close to the code, review PRs, assist architecture decisions.
• Support migration from PHP monolith to microservices, using AI to speed up analysis, refactoring, and test coverage.
• Raise the technical bar through design reviews, RFCs, ADRs and post-mortems.
• Leadership: mentor engineers, foster ownership and accountability, and drive AI-first practices.
• Run predictable, agile delivery with planning, prioritization, and stakeholder alignment.
• Track engineering health with SLOs, DORA and SPACE metrics and act on results.

Conocimientos

Lead team

Hands-on coding

Backend PHP/TS

AI SDLC design

AI artifacts

LLMs usage

AWS/GCP

CI/CD

Agile delivery

English communication

Herramientas

PHP

TypeScript/Node.js

AWS

GCP

CI/CD

Test automation

Descripción del empleo

Location: Remote (Full-time)ExpoPlatform is the AI-powered events and 365 community platform used by the world’s leading conference and exhibition organizers. Make a real impact by joining a fast-paced and fast-growing company! ExpoPlatform’s technology is a complete Networking and Matchmaking and a turnkey Event Management System for online, hybrid, and in-person events.

The role

We're looking for a hands-on AI Engineering Manager who still writes code, reviews architecture and ships, while leading a team of engineers. You've already built an AI-driven development workflow, not just used one, and you know how to turn individual AI usage into a standardized, organization-wide engineering workflow with clear procedures, shared tooling and measurable outcomes.

You'll lead by example. Your own output is multiplied by AI agents, and you'll help every engineer on your team do the same, with measurable results.

What you'll do

AI-driven delivery

Own and evolve our AI SDLC: spec-driven development, agent-assisted coding, AI code review, automated testing and release.

Build reusable AI artifacts for the team: skills, prompts, agent configurations, MCP integrations, specs and templates that others pick up and use daily.

Set clear guardrails for AI usage: code quality, security, PII handling and when a human must stay in the loop.

Measure AI impact with real data (cycle time, throughput, defect rate, DORA) and target significant efficiency gains you can prove, not estimate.

Hands-on engineering

Stay close to the code: build prototypes, unblock hard problems, review PRs and take part in architecture decisions.

Support the migration from our PHP monolith to microservices, using AI to speed up code analysis, refactoring and test coverage.

Raise the technical bar through design reviews, RFCs, ADRs and post-mortems.

Leadership

Lead and mentor engineers, building a culture of ownership and accountability.

Coach engineers to work with AI agents effectively, moving them from occasional use to AI-first habits.

Run predictable, agile delivery: planning, prioritization and expectation management that reduce last-minute requests.

Track engineering health with SLOs, DORA and SPACE metrics and act on what they show.

Grow a proactive, bottom-up team where people bring ideas and automations, not only execute tickets.

Work closely with Product, Design and leadership to align execution with the roadmap.

Requirements

• 3+ years leading software engineering teams, with a strong hands-on engineering background before and during that time.
• You still code.
• Solid experience with backend systems (PHP, TypeScript/Node.js or similar) and modern architecture: microservices, DDD, event-driven design.
• Proven experience designing and rolling out an AI-assisted SDLC in a real team, not only personal use.
• Be ready to show what you built.
• Daily, deep use of AI coding agents (Claude Code, Codex) and a clear view of where they help and where they fail.
• Experience creating AI artifacts: specs, prompts, skills, agents or MCP-based integrations used by others.
• Good grasp of how LLMs work in practice: context, hallucinations, evaluation, cost and security risks.
• Experience with AWS or GCP, CI/CD pipelines and test automation.
• Strong Agile delivery background and comfort with engineering metrics.
• Excellent communication and stakeholder management in English.

Nice to have

• Experience building internal automations with tools like n8n, AWS Lambda or agent frameworks.
• Experience leading a legacy-to-modern platform migration.
• Background in event tech, SaaS or marketplace products.
• Public work you can share: talks, posts, open-source tools or internal playbooks on AI-driven engineering.

We offer

• A real mandate to shape how a 50-person engineering organization builds software with AI.
• Access to leading AI tools and the freedom to try new ones.
• Fast professional growth in an international team.
• A product with real demand, used by major event organizers worldwide.
• Mon-Fri, 8 hours, semi-flexible.
• Salary based on interview results.