Onpoint Healthcare Partners Inc

Role Description Onpoint Healthcare Partners builds Iris, a Medical Agent AI platform that takes administrative work off the plates of providers and care teams. Our agents handle charting, coding, care gap closure, and care coordination across the full patient journey, combining AI automation with expert clinical oversight. More than 2,000 providers across 35+ specialties rely on the platform every day, which means the systems behind it have to be accurate, reliable, and auditable without exception. We are seeking a Staff AI Engineer to design, build, and scale the agent systems behind Iris. This role combines strong software engineering fundamentals with deep experience building production AI systems. The work you ship directly determines how much time providers get back for patient care. The ideal candidate has shipped AI solutions to production that deliver measurable business value, and will evolve and be a good steward of the agent platform architecture. Key Responsibilities - Design and develop AI applications and agent workflows. - Build scalable backend services, APIs, and integrations supporting AI solutions. - Evolve and steward the agent platform architecture, including orchestration, runtime safety, and prompt governance. - Treat prompts and tool schemas as versioned code with staged rollouts and rollback. - Develop and maintain evaluation frameworks for AI agents and models, with CI gates that block bad changes before release. - Design retrieval, memory, and context management strategies. - Build observability, monitoring, and debugging capabilities, including full trace and replay for incident resolution. - Build the MLOps foundation the team is currently missing: training and retraining pipelines, model versioning, model registry, and feature stores, so model work stops being reactive. - Stand up A/B testing infrastructure and automated drift detection that triggers retraining, so model quality is monitored and maintained without manual firefighting. - Track token and tool costs per run, workflow, and tenant, and keep costs predictable as usage scales. - Improve reliability, performance, safety, and cost efficiency of production AI systems. - Partner with Product, Clinical, Data Science, and Engineering teams to deliver AI capabilities. - Own AI deployment, monitoring, and operational excellence. Qualifications - 8+ years of software engineering experience. - 3+ years building AI and ML applications. - Strong Python and/or C# development experience. - Experience deploying AI systems into production environments. - Experience with LLMs, RAG architectures, agent frameworks, and AI evaluation. - Experience with AWS and distributed systems. - Hands-on experience building MLOps infrastructure such as training pipelines, model registries, feature stores, A/B testing, and drift detection. - Strong debugging, observability, and operational skills. Preferred Qualifications - Healthcare industry experience. - Experience with HIPAA, PHI, and regulated environments. - Experience with vector databases, embeddings, and knowledge graphs. - Experience building AI systems at large scale. Success Metrics - Reliable, scalable, and cost efficient AI systems running in production. - Incidents get resolved fast because tracing and replay make root cause obvious. - Cost per workflow stays predictable as volume grows. - Model training, versioning, and retraining run as a managed pipeline rather than a reactive, manual effort. - Strong adoption and measurable business impact. - High trust in AI quality, safety, and operational performance. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to speak, hear, read, and type. This is largely a sedentary role. This position requires the ability to occasionally lift office products and supplies up to 40 pounds. Work Environment To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice.

Role Description Onpoint Healthcare Partners builds Iris, a Medical Agent AI platform that takes administrative work off the plates of providers and care teams. Our agents handle charting, coding, care gap closure, and care coordination across the full patient journey, and customers trust them because we hold the platform to clinical accuracy standards and back them up with evidence. That trust is earned with data. We are seeking a Staff Data Scientist to be the person who proves our AI is right. You will drive data science, analytics, and AI evaluation across our clinical and operational platforms: - Measuring agent quality - Building the evaluation frameworks behind our accuracy standards - Analyzing claims, clinical, and EHR data to find opportunities to improve outcomes, quality, and operational efficiency The ideal candidate understands healthcare data at scale and partners closely with Product, Engineering, Clinical Operations, and AI teams. Qualifications - 7+ years of experience in Data Science, Analytics, Machine Learning, or a related field - Strong experience working with healthcare data including claims, clinical, EHR, or population health datasets - Familiarity with standards such as HL7, FHIR, and ICD-10 - Strong proficiency in SQL and Python - Experience evaluating AI and ML systems and defining quality metrics - Strong foundation in statistics, experimentation, and predictive modeling - Ability to communicate insights clearly to business and technical stakeholders - Working knowledge of HIPAA and PHI handling requirements Requirements - Analyze claims, clinical, EHR, and operational datasets to identify trends, risks, and opportunities - Apply healthcare data standards and vocabularies such as HL7, FHIR, ICD-10, CPT, SNOMED, and LOINC when normalizing and linking data - Develop statistical models and analytical frameworks to support product and business decisions - Design and maintain AI evaluation frameworks including rubrics, golden datasets, benchmark suites, and regression testing - Measure AI agent quality, accuracy, precision, recall, and business impact - Conduct exploratory data analysis and communicate findings to technical and business stakeholders - Partner with clinical and operational teams to define meaningful success metrics - Support data quality initiatives and ensure reliability of data used for analytics and AI systems - Apply advanced SQL, Python, statistics, and machine learning techniques to solve business problems - Protect PHI in all data handling and ensure compliance with regulatory requirements Benefits - Improved AI quality, accuracy, and clinical relevance - Actionable insights that drive business and operational outcomes - Trusted data assets and evaluation frameworks used across the organization - Strong partnerships across Product, Clinical, Data, and Engineering teams Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to speak, hear, read, and type. This is largely a sedentary role. This position requires the ability to occasionally lift office products and supplies up to 40 pounds. Work Environment To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice.