Applied AI Engineer (Pre-Sale)

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.

Applied AI (Pre-Sale) is how we show a customer what production AI can do for their hardest clinical workflow before they commit. You take a vague problem, build a working prototype or a live demo, and put something real in front of them quickly. You partner with account executives on technical discovery, scope what we can build, and give prospects the confidence to move forward.

The work is equal parts experimentation and research. Each prospect is a question about what's achievable in a clinical domain we haven't tackled yet, and you answer it in code. You track what new models make possible the week they ship, test them against real customer problems, and learn what holds up before it reaches a demo.

The role exists so our delivery engineers can stay focused on production deployments while you own the pre-sales technical surface. You sit at the intersection of sales and engineering: close enough to the product to build on it, curious enough to push it into new territory.

We hire across every level, from new grads to deeply experienced engineers, and we work out level together once we've met you. What matters is not years on a resume but whether you can turn an ambiguous problem into something working, fast.

• Building rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases

• Running technical discovery with account executives to scope what's possible and shape deal architecture

• Designing and delivering live technical demonstrations that turn prospect pain points into working agent experiences

• Prototyping experimental agent configurations that explore new use cases and push the boundaries of what our platform can do

• Researching what new models and techniques make possible, testing them against real customer problems, and separating what works from what only demos well

• Running technical deep dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints

• Creating reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles

• Turning technical objections into solutions during the sales process, from security to compliance to integration feasibility

• Handing won deals cleanly to the delivery team, documenting POC learnings and customer expectations

• Feeding insights from the field back to product and engineering: what prospects ask for, what patterns emerge, and where the platform should go next

• You have strong hands-on coding ability and can build a working prototype, not just talk about one. Python proficiency matters here

• You have experience with LLMs, prompt engineering, and building on AI platforms, or you'll get there fast

• You have a hacker mentality: fast, scrappy, and energized by building things from scratch under time pressure

• You're genuinely excited by AI experimentation and novel use cases, and you follow the space closely

• You can run a room, present to technical and executive audiences, handle objections live, and think on your feet

• You have strong discovery skills and ask the questions that uncover the real problem, not just the stated one

• You're comfortable with ambiguity. Prospects don't hand you clean requirements, and you do your best work when they don't

• You're low ego, direct, and hold yourself to a high bar

• You can work on site in New York City

• Experience in healthcare technology or regulated industries

• A background moving between engineering and customer-facing work in either direction

• Familiarity with healthcare workflows, EHR systems, or clinical terminology

• Experience building demo environments or sandbox platforms

• Understanding of healthcare compliance requirements (HIPAA, SOC 2)

• A track record of influencing deal outcomes through technical work

• 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

1. Patients Win, We Win

   If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

2. High Standards, High Care

   We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

3. Thoughtful Urgency

   We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

4. Intensely Measured

   We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.

• Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.

• Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.

• High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.

• Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.

• Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.