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Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )Launch TN • New York, New York, United States
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Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )

Launch TN
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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Über

Location Remote Employment Type Full time Location Type Remote Department Engineering Compensation $160K – $220K Job Title: Senior 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 Credits for online fitness classes/gym memberships 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. If you have any questions or concerns, please don't hesitate to reach out to our People Department. 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. Compensation Range: $160K - $220K
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  • New York, New York, United States

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  • English
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