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Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )

USA

Pay
Pay not listed
Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship from your Employer?
From the employer’s application form
Apply at Prompt Enterprises

What you’ll work on

Full posting
  • Take AI projects from ideation through architecture, production, and iteration

  • Design, build, and deploy end-to-end AI systems for ML and LLM workflows

  • Design evaluation, monitoring, and observability for accuracy, cost, latency, and impact

  • Build guardrails and human-in-the-loop checks around LLM pipelines

  • Turn rapid prototypes into reliable production systems

From the employer’s posting
Lead AI projects from ideation → architecture → production → iteration
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Design and implement evaluation, monitoring, and observability metrics (accuracy, cost, latency, and business impact)
Build guardrails around LLM pipelines including validation and human-in-the-loop workflows
Develop rapid proofs-of-concept and prototypes, then harden them into reliable systems

What you’ll bring

All qualifications

Core experience

  • 4+ years of experience building AI/ML systems in industry or academia, with meaningful production ownership
  • Experience building internal AI tools or platforms used across multiple business functions
  • Strong experience building and operating AI systems end-to-end, not just models in isolation
  • Experience designing evaluation harnesses for LLM workflows (golden datasets, regression tests, human review loops)
  • Strong experience with LLM-based systems (programmatic prompt optimization, evaluation, prompting, structured outputs, RAG, multi-step workflows)
  • Experience setting up analytics and dashboards to track AI usage, outcomes, and ROI
Qualification wording
4+ years of experience building AI/ML systems in industry or academia, with meaningful production ownership
Experience building internal AI tools or platforms used across multiple business functions
Strong experience building and operating AI systems end-to-end, not just models in isolation
Experience designing evaluation harnesses for LLM workflows (golden datasets, regression tests, human review loops)
Strong experience with LLM-based systems (programmatic prompt optimization, evaluation, prompting, structured outputs, RAG, multi-step workflows)
Experience setting up analytics and dashboards to track AI usage, outcomes, and ROI

Tools in this posting

  • Python
  • AWS
  • Docker
  • PostgreSQL
  • S3
  • FastAPI
  • SQLAlchemy
  • Streamlit
Source — Tool mentions in context
- Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders - Python (>3.9) - Docker (Basics)
- Docker (Basics) - AWS familiarity (S3, RDS, EC2) preferred - Strong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced settings
- Python (>3.9) - Docker (Basics) - AWS familiarity (S3, RDS, EC2) preferred
- Familiarity with workflow automation and business systems (CRMs, support tools, analytics platforms) - Experience with FastAPI, Streamlit, Pydantic, SQLAlchemy, PostgreSQL - Experience with retrieval systems (vector search, hybrid search, grounding and citation strategies)

Posting record

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Open 4 monthsWe first saw this listing 144 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

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Live
First seen by us
Jun 2, 2026 · 144 days ago
Recorded sightings
111
Last seen by us
Oct 23, 2026
Employer says posted
Jan 5, 2026

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Job description

View original posting ↗

Job Title: Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )

Prompt is a mission-driven startup looking for an experienced Senior AI Engineer to help push forward an ambitious set of AI initiatives in healthcare, with a particular emphasis on speech and language processing.

Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. We’ve established ourselves as the go-to platform in the space and are rapidly growing our market share by delivering software people love.

As we scale, AI is becoming increasingly central to how we build products and how we operate internally. We’re looking for a Sr. AI Engineer who can operate broadly across the team, with a particular strength in designing, evaluating, and monitoring end-to-end AI systems. Comfort choosing, implementing, and improving outcome metrics is essential. This role will contribute to product-facing AI as needed, while also playing a key role in rapidly ideating and developing internal AI tools that improve efficiency, decision-making, and quality across Engineering, Design, Sales, Marketing, Support, Finance, and Operations.

This is a high-ownership role focused on iteratively building systems, partnering closely with stakeholders, and ensuring our AI tools deliver real value.

Responsibilities

  • Drive Prompt’s mission to improve healthcare through modern technology including AI

  • Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!

  • Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows

  • Partner with stakeholders across the company to understand workflows, define success criteria, and deliver practical solutions

  • Supporting internal as well as product-facing AI initiatives as needed

  • Design and implement evaluation, monitoring, and observability metrics (accuracy, cost, latency, and business impact)

  • Build guardrails around LLM pipelines including validation and human-in-the-loop workflows

  • Develop rapid proofs-of-concept and prototypes, then harden them into reliable systems

  • Help grow and lead the AI team, including training and development of junior team members

Qualifications

  • 4+ years of experience building AI/ML systems in industry or academia, with meaningful production ownership

  • Strong experience building and operating AI systems end-to-end, not just models in isolation

  • Strong experience with LLM-based systems (programmatic prompt optimization, evaluation, prompting, structured outputs, RAG, multi-step workflows)

  • Solid understanding of evaluation and measurement for AI systems (offline metrics, online monitoring, regressions, cost tracking)

  • Ability to work closely with non-technical stakeholders to translate workflows into effective AI solutions

  • Strong software engineering fundamentals and ability to ship maintainable, production-grade systems

  • Track record of benchmarking and iteratively improving accuracy, cost, and latency

  • Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders

  • Python (>3.9)

  • Docker (Basics)

  • AWS familiarity (S3, RDS, EC2) preferred

  • Strong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced settings

  • Willingness to learn and deeply understand the healthcare sector, specifically physical therapy, occupational therapy, and speech therapy

  • Please only apply if you are interested in a heavy code contribution role; this is not an engineering management position, though growth opportunities exist over time

Nice-to-Haves

  • Experience building internal AI tools or platforms used across multiple business functions

  • Experience designing evaluation harnesses for LLM workflows (golden datasets, regression tests, human review loops)

  • Experience setting up analytics and dashboards to track AI usage, outcomes, and ROI

  • Familiarity with workflow automation and business systems (CRMs, support tools, analytics platforms)

  • Experience with FastAPI, Streamlit, Pydantic, SQLAlchemy, PostgreSQL

  • Experience with retrieval systems (vector search, hybrid search, grounding and citation strategies)

  • Experience building healthcare software and/or data processing pipelines

Perks - What you can expect:

  • Competitive salaries

  • Remote/hybrid environment

  • Potential equity compensation for outstanding performance

  • Flexible PTO

  • Company-wide sponsored lunches

  • Company paid disability and life insurance benefits

  • Company paid family and medical leave

  • Medical, dental, and vision insurance benefits

  • Discounted pet insurance

  • FSA/DCA and commuter benefits

  • 401k

  • Complimentary subscription to digital fitness classes and wellness content

  • Recovery suite at HQ – includes a cold plunge, sauna, and shower

Here at Prompt, we are committed to fostering a fair and respectful work environment. As part of this commitment, it is our policy not to hire individuals from Prompt Customers unless they have obtained their current employer's explicit consent. We believe in upholding strong professional relationships and respecting the agreements and commitments our customers have with their employees. We appreciate your understanding and cooperation regarding this policy. Please don't hesitate to inquire with our team.

Prompt Therapy Solutions, Inc is an equal opportunity employer, indiscriminate of race, color, religion, ethnicity, ancestry, national origin, sex, gender, gender identity, sexual orientation, age, marital status, veteran status, disability, medical condition, or any other protected characteristic. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Prompt Therapy Solutions, Inc is an E-Verify Employer.

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Location & working pattern

USA

- Experience with FastAPI, Streamlit, Pydantic, SQLAlchemy, PostgreSQL - Experience with retrieval systems (vector search, hybrid search, grounding and citation strategies) - Experience building healthcare software and/or data processing pipelines
More source context
- Competitive salaries - Remote/hybrid environment - Potential equity compensation for outstanding performance
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