Applied AI Tech Lead

Amigo AI

$130K — $180K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience leading engineering projects
  • Proven ability to decompose complex problems into actionable tasks
  • Hands-on experience with LLMs and agent systems
  • Strong judgment for making technical tradeoffs
  • Effective leadership in architecture or team dynamics
  • Low ego and a commitment to team excellence
  • Willingness to work on-site in New York City

Responsibilities

  • Lead AI deployments from initial engagement to production
  • Transform vague customer requirements into precise technical plans
  • Establish architectural guidelines for the engineering team
  • Make informed decisions on project tradeoffs
  • Mentor and elevate the skills of team engineers
  • Interact directly with customers to manage expectations

Benefits

  • Comprehensive health, dental, and vision insurance
  • Daily catered lunch and dinner
  • Mental health support and wellness coaching
  • Flexible wellness stipend for fitness, therapy, or personal growth
  • Annual learning budget for courses, books, or conferences
  • Conference attendance budget for professional development
  • Annual team offsite
  • Academic collaboration opportunities
  • Unlimited PTO
Full Job Description
About this role

As an Applied AI Tech Lead at Amigo, you'll lead the technical delivery of customer deployments end to end. You'll set the architecture, break big ambiguous problems into work a team can own, commit the timelines, and hold the bar for what ships. It's a hands-on leadership role at the intersection of engineering, product, and the customer.

Depending on your strengths, the role leans toward deep technical leadership, people leadership, or both. Some tech leads are the deepest technical authority on the team and take the hardest problems themselves. Others manage a handful of engineers and own how the team operates. Most do some of each. We work out the shape with you.
What you might work on
  • Leading an AI deployment for a major healthcare customer, from first conversation to production
  • Turning an ambiguous customer need into a clear technical plan with owners and timelines
  • Setting the architecture and engineering standards the team builds within
  • Making the calls on tradeoffs: what to build now, what to reuse, and what to push back on
  • Growing the engineers around you and raising the bar of the whole team
  • Working directly with customers to keep scope, timelines, and quality honest
You may be a fit if
  • You've led significant engineering work end to end, as a tech lead, staff engineer, or engineering manager
  • You've broken hard, ambiguous problems into work other engineers could own and deliver
  • You have real experience with LLMs and agent systems, or the depth to get there fast
  • You have the judgment to make tradeoffs and the standing to say no when something doesn't hold up
  • You lead well, whether through architecture, through people, or both
  • You're low ego, direct, and hold yourself and your team to a high bar
  • You can work on site in New York City
Nice to have
  • Experience in a regulated or high-reliability domain (healthcare, finance, legal)
  • Experience shipping production AI or ML systems
  • Background in customer-facing or forward-deployed engineering
  • Experience growing engineers or running a small team
Benefits (available to Full-Time Employees)
Health & Wellness
  • Comprehensive health, dental, and vision insurance
  • Daily catered lunch and dinner
  • Mental health support and wellness coaching
  • Flexible wellness stipend for fitness, therapy, or personal growth
Growth & Development
  • Annual learning budget for courses, books, or conferences
  • Conference attendance budget for professional development
  • Annual team offsite
  • Academic collaboration opportunities
  • Unlimited PTO

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