Applied AI Engineer (Pre-Sale)

About the role

Applied AI (Pre-Sale) is a critical function within Amigo, responsible for demonstrating the capabilities of our production AI solutions to potential clients. This role involves taking vague problems, building prototypes or live demos, and providing tangible solutions to prospects.

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 the capability to build a working prototype, not just talk about one
• Python proficiency is essential
• Experience with LLMs, prompt engineering, and building on AI platforms, or willingness 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, following the space closely
• The ability to run a room, present to technical and executive audiences, handle objections live, and think on your feet
• Strong discovery skills and the ability to ask the questions that uncover the real problem, not just the stated one
• A low ego, direct approach, and holding yourself to a high bar
• The ability to work on-site in San Francisco

Qualifications

• Nice to have: experience in healthcare technology or regulated industries, background moving between engineering and customer-facing work, familiarity with healthcare workflows, EHR systems, or clinical terminology, experience building demo environments or sandbox platforms, understanding of healthcare compliance requirements (HIPAA, SOC 2), track record of influencing deal outcomes through technical work

Skills

• Strong hands-on coding ability
• Python proficiency
• Experience with LLMs, prompt engineering, and building on AI platforms
• Hacker mentality
• Genuinely excited by AI experimentation and novel use cases
• Discovery skills
• Ability to run a room and handle objections live
• Familiarity with healthcare workflows and compliance requirements

Benefits

• 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