Job description

At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare delivery by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. Patients interact with advanced AI systems at every step of their care and follow-up. Licensed physicians review each case with the patient for the clinical decision in our integrated virtual clinic. We ground our approach in rigorous research, continuous learning, and a deep commitment to clinical integrity. We focus on making a real impact: improving health outcomes, expanding access to care, and setting new standards for what trustworthy, patient-centered healthcare is. Read some of our latest publications . About the Senior Software Engineer, Agentic AI role We are hiring a Full-Stack Senior Software Engineer across a range of seniority levels to push the frontier of agentic / applied AI in healthcare. As a member of the technical staff on the artificial intelligence engineering team, you will design, build, and ship ML and LLM systems (agentic AI workflows) that directly shape how clinicians and patients interact with our platform. You will work end-to-end: framing the problem, exploring data, training and evaluating models, productionizing inference, and measuring real-world clinical and product impact. The bar is high and the surface area is large; we are looking for engineers who want significant ownership and are excited to operate where research meets production. What You'll Do Lead the technical execution of complex AI initiatives, owning the design and delivery of solutions within a product or technical domain while partnering with senior engineers on broader architectural direction. Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support, chronic care management). Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails. Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time. Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers. Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience. Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority. Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team. What You'll Bring Bachelor’s degree in Computer Science, Software Engineering, Math, or other related technical degree 3+ years of hands-on engineering experience with 1+ year building and deploying machine learning systems including generative AI (LLMS), and a clear track record of impact. Strong software engineering fundamentals and the ability to ship reliable, well-tested code in Python (or a comparable language) in a production environment. Practical understanding of modern LLM techniques: prompting, retrieval-augmented generation, fine-tuning, evaluation, and the trade-offs between them. Comfortability working with messy, real-world data and designing evaluations to know whether a system is actually working. Strong written and verbal communication; ability to cross-collaborate with clinicians, product managers, and engineers across disciplines. A bias toward action and ownership: you can take an ambiguous problem, drive it to a result, and bring others along. Care for the mission. You want your work to translate into better health outcomes for real patients. Nice to Have Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain. Experience with clinical NLP, medical knowledge representation, or working with electronic health record data. Experience building agentic systems, tool-using LLMs, in production. Experience scaling ML infrastructure — training pipelines, distributed inference, evaluation platforms — for a small, fast-moving team. Track record of technical leadership: setting direction across teams, mentoring engineers, or publishing influential work. What We Offer High ownership work on problems that matter, with a tight feedback loop from real clinicians and patients. A small, senior team where your work shows up in the product quickly. Competitive compensation, meaningful equity, and comprehensive benefits. Remote-first, flexible work environment across the U.S. Compensation: $175,000 - $210,000/year The pay range listed for this position reflects what Curai Health reasonably and in good faith expects to pay at the time of posting. Actual base salary will depend on a variety of factors, including your qualifications and years of relevant experience. Culture: A mission-driven team of talented colleagues who are committed to living our values, collaborating closely, and driving meaningful impact in healthcare. Benefits: Comprehensive medical, dental, and vision coverage Flexible spending plans Generous and flexible Paid Time Off (PTO), floating holidays, and parental leave 401k plan with employer matching 100% remote — work from home Work Location Requirement: This is a remote position. Employees must perform all work physically within the country they reside in. International work is not permitted during scheduled work hours. Work Environment: This is a remote position and may be “on camera” at any time. Employees will work from a home office, requiring reliable internet connectivity and a secure, private workspace. Curai Health is an equal opportunity employer and is deeply committed to building a diverse and inclusive workforce. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital or domestic partner status, sexual orientation, gender identity, disability status, veteran status, or any other legally protected characteristic. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for mission-driven teammates who embody our core values and appreciate our transparent approach. Beware of job scam fraudsters! Our company uses @curai.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from Curai from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us at jobs@curai.com .

Requirements

Must-haves

About the Senior Software Engineer, Agentic AI role
Lead the technical execution of complex AI initiatives, owning the design and delivery of solutions within a product or technical domain while partnering with senior engineers on broader architectural direction.
Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails.
Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time.
Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers.
Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience.
Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority.
Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team.
Bachelor’s degree in Computer Science, Software Engineering, Math, or other related technical degree
3+ years of hands-on engineering experience with 1+ year building and deploying machine learning systems including generative AI (LLMS), and a clear track record of impact.
Strong software engineering fundamentals and the ability to ship reliable, well-tested code in Python (or a comparable language) in a production environment.
Practical understanding of modern LLM techniques: prompting, retrieval-augmented generation, fine-tuning, evaluation, and the trade-offs between them.
Comfortability working with messy, real-world data and designing evaluations to know whether a system is actually working.
Strong written and verbal communication; ability to cross-collaborate with clinicians, product managers, and engineers across disciplines.
A bias toward action and ownership: you can take an ambiguous problem, drive it to a result, and bring others along.
Care for the mission. You want your work to translate into better health outcomes for real patients.

Nice-to-haves

Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain.
Experience with clinical NLP, medical knowledge representation, or working with electronic health record data.
Experience building agentic systems, tool-using LLMs, in production.
Experience scaling ML infrastructure — training pipelines, distributed inference, evaluation platforms — for a small, fast-moving team.
Track record of technical leadership: setting direction across teams, mentoring engineers, or publishing influential work.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllmmachine learningpython

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Parental Leave