Applied AI Engineer (Pre-Sale)

Amigo•New York, NY

7d•$130,000 - $200,000•Onsite

About The Position

As an Applied AI Engineer (Pre-Sale) at Amigo, you're the technical imagination behind every deal. You hack together POCs, live demos, and experimental agent experiences that show prospects what's possible, not just what exists today. You take a vague customer problem, disappear for a few hours, and come back with a working prototype that makes the room sit up. The work is equal parts experimentation and research. Every prospect is a new question about what our agents can do in a clinical domain no one has tried yet, and you get to go find out in code. You follow what new models can do the week they ship, test them against real customer problems, and figure out what actually holds up before it ever reaches a demo. This role exists so our Applied AI delivery engineers can stay focused on production deployments. You own the pre-sales technical surface: scoping what's possible, building proof-of-concept agents, running technical discovery, and making the product feel real before ink hits paper. You work at the intersection of sales and engineering, close enough to the product to build on it and creative enough to stretch 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 enough to change a conversation.

Requirements

Strong hands-on coding ability and can build a working prototype, not just talk about one. Python proficiency matters here
Experience with LLMs, prompt engineering, and building on AI platforms, or you'll get there fast
A hacker mentality: fast, scrappy, and energized by building things from scratch under time pressure
Genuinely excited by AI experimentation and novel use cases, and you follow the space closely
Can run a room, present to technical and executive audiences, handle objections live, and think on your feet
Strong discovery skills and ask the questions that uncover the real problem, not just the stated one
Comfortable with ambiguity. Prospects don't hand you clean requirements, and you do your best work when they don't
Low ego, direct, and hold yourself to a high bar
Can work on site in New York City

Nice To Haves

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

Responsibilities

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