Applied AI Engineer (Pre-Sale)

About the role

Applied AI (Pre-Sale) is a role within Amigo, focusing on showing customers what production AI can do for their clinical workflows before committing. You will work closely with account executives to build prototypes or live demos, providing confidence for prospects to move forward.

Responsibilities

• Build rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases
• Run technical discovery with account executives to scope what’s possible and shape deal architecture
• Deliver live technical demonstrations that turn prospect pain points into working agent experiences
• Prototype experimental agent configurations that explore new use cases and push the boundaries of what our platform can do
• Research what new models and techniques make possible, testing them against real customer problems, and separating what works from what only demos well
• Run technical deep dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints
• Create reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles
• Turn technical objections into solutions during the sales process, from security to compliance to integration feasibility
• Hand won deals cleanly to the delivery team, documenting POC learnings and customer expectations
• Feed insights from the field back to product and engineering: what prospects ask for, what patterns emerge, and where the platform should go next

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 willing to learn 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 follows 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 asks the questions that uncover the real problem, not just the stated one
• Low ego, direct, and holds themselves to a high bar
• Works on-site in New York City

Qualifications

• 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

Skills

• Strong hands-on coding ability
• Python proficiency
• Experience with LLMs, prompt engineering, and AI platforms
• Hacker mentality
• Genuine excitement for AI experimentation and novel use cases
• Effective communication and presentation skills
• Discovery and problem-solving skills
• Ability to work independently and under time pressure
• Understanding of healthcare compliance requirements

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