Senior Software Engineer, Agentic AI

Curai Health

. Design, build, train, evaluate, and improve advanced machine learning and LLM-based systems for patient- and provider-facing products .

Posted 9/30/2026full-timeRemote • United StatesSenior💰 $175,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning systems, particularly in healthcare and clinical settings, with a strong focus on technical leadership and collaboration across disciplines. Proficient in Python and experienced in building data pipelines, evaluation frameworks, and production-ready AI solutions.

Highest-signal resume keywords

Machine Learning System DevelopmentGenerative AI (LLMs)Python ProgrammingTechnical LeadershipClinical NLP

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData Pipeline DevelopmentModel EvaluationPrompt EngineeringFine-TuningProduction Code ShippingStatistical AnalysisData ManagementAI System MonitoringEvaluation Framework Design

Soft Skills

Strong CommunicationCollaborationMentoringProblem-SolvingAdaptability

Tools & Technologies

Machine Learning FrameworksData Processing ToolsAI Monitoring ToolsClinical Review ToolsModel Management Systems

Industry Keywords

HealthcareLife SciencesRegulated DomainsElectronic Health RecordsMedical Knowledge Representation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, build, train, evaluate, and improve advanced machine learning and LLM-based systems for patient- and provider-facing products
Lead technical execution of complex AI initiatives and own solution design and delivery within a product or technical domain
Scope problems with clinicians and product partners
Build datasets and evaluations, iterate on modeling, and ship systems to production with monitoring and guardrails
Develop evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments
Build and improve data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers
Partner with clinicians, product, and engineering to translate medical and operational requirements into ML problems
Set technical direction, mentor engineers, and raise engineering and scientific rigor
Stay current with AI literature and the evolving AI ecosystem
Measure real-world clinical and product impact

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Math, or another related technical field
3+ years of hands-on engineering experience
1+ year building and deploying machine learning systems, including generative AI (LLMs)
Clear track record of impact
Strong software engineering fundamentals
Ability to ship reliable, well-tested production code in Python or a comparable language
Practical understanding of prompting, retrieval-augmented generation, fine-tuning, and evaluation
Comfort working with messy, real-world data
Ability to design evaluations to determine whether a system is working
Strong written and verbal communication
Ability to collaborate across disciplines with clinicians, product managers, and engineers
Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain (nice to have)
Experience with clinical NLP, medical knowledge representation, or electronic health record data (nice to have)
Experience building production agentic systems and tool-using LLMs (nice to have)
Experience scaling ML infrastructure (nice to have)
Track record of technical leadership (nice to have)

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
Flexible spending plans
Generous and flexible Paid Time Off (PTO)
Floating holidays
Parental leave
401k plan with employer matching
100% remote — work from home
Meaningful equity
Flexible work environment across the U.S.