Re‑architecting U.S. healthcare demands speed, precision, and an obsession with details. Cadence is building a remote care delivery system that keeps older people healthy, out of the hospital, and at home. By pairing each patient with a dedicated clinical team that reviews their health every day, versus every few months, we catch issues early and intervene before they escalate. The result: measurably better outcomes for patients and less administrative burden for clinicians. Today, Cadence supports tens of thousands of active patients nationwide. Our AI‑powered system and scalable clinical model enable proactive, population‑level care. We’re among the fastest‑growing companies in healthtech, and we’re just getting started. We're looking for a Senior Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you. WHAT YOU’LL DO: - Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations. - Own reliability, observability, and cost efficiency of LLM-powered workflows at scale. - Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data. - Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD. - Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths. - Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design. - Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture. WHAT YOU’LL NEED: - Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience - 5+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production - Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs - Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding - Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production NICE TO HAVE: - Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) - Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks - Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) WHO WE ARE: We move fast, raise standards, and own outcomes. We hire drivers, not passengers – people who take initiative, solve problems, and sweat the details because lives depend on it. Momentum matters in healthcare where slow decisions cost lives. At Cadence, we set a high bar and back each other relentlessly to clear it. If you’re ready to do the best work of your career and make a real impact in healthcare, join us. WHAT YOU’LL GET: - Autonomy to tackle big, complex problems that matter - An opportunity to improve lives every single day - A chance to shape a category‑defining company at scale - Medical, dental, and vision insurance - Competitive total compensation and meaningful equity - TelaDoc (virtual primary care) - National and local discounts powered by TriNet - Unlimited PTO and paid holidays - Remote equipment setup and home office stipend - Paid Parental Leave - 401K and 401K match - Charitable Donation Match program - Location: Remote Noteworthy Our job titles may span more than one career level. The base pay for this role typically ranges between $180,000 – $245,000 annual base salary. Total compensation includes base salary and equity. The actual base pay is determined by a variety of factors, including experience, skills, training, and business needs. Compensation may vary based on market location and is subject to change. Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence.

Requisition Number: 2341924 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Develop and implement AI and machine learning strategies to drive healthcare solutions, build and test machine learning and deep learning models - Implement and design novel machine learning, deep learning, and generative AI approaches inspired by relevant literature - Build robust machine learning pipelines to support production processes - Process and transform source data to be used in machine learning pipelines, leveraging cloud computing - Collaborate with cross-functional teams to determine applicability of AI to business problems - Design, plan, and prioritize experiments - Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs - Develop code and model documentation and assist with model governance approvals - Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards. Develop code and documentation to assist with model governance - Clearly document and following best coding practices with Python packages, etc. along with the use of GitHub - Create and present presentations in the form of presentations and written documents of analysis results to Optum AI and business leaders You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - PhD in computer science or a related quantitative field - 5+ years of machine learning and data science experience - 3+ years of experience with Python, classical ML methods and deep learning (i.e. PyTorch or Tensorflow) - 2+ years of experience leading projects with solid technical communication skills, including demonstrated technical leadership - 2+ years of hands-on experience with NLP approaches such as text embedding and text classification, using and evaluating LLMs/generative AI models, RAGs, etc. - Experience with distributed training of GenAI models - Demonstrated research publications in top-tier AI conferences (preferably healthcare-focused) - Conducted independent research study leading to novel architecture/optimize technique, related to LLMs and SLMs *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Requisition Number: 2346821 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Lead data science work conceptualizing, designing, developing, and maintaining AI/ML models for disease progression/patient engagement programs - Meet with business partners to understand requirements and design solution(s) which work best for the problem - Review AI/ML model ideas, engineering designs and offer ideas for new approaches - Develop and evolve Data Science and Engineering roadmap for disease progression and patient engagement programs - Raise the bar on excellence in execution in terms of quality, timeliness, and scalability - Collaborate with counterparts in other Geographical locations to ensure smooth execution of critical projects across the board - Recommend applicable technical patterns and solutions that are aligned with architectural guiding principles and standards through a regular cadence of delivery and continuous improvement initiatives - Collaborate closely with Product and Capability Architects on aligning inferred Solutions and Enterprise architecture to granular technical patterns and solutions - Govern technical debt and promote balance You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - MS degree in Computer Science or related field - 7+ years of experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Databricks and Azure AI Services Preferred Qualifications: - Ph.D. in Computer Science or related field - 10+ years of data science experience - Knowledge of advanced statistical techniques and concepts and experience with applications - Proven solid problem-solving skills with an emphasis on model development and engineering - Proven outstanding communication skills both written and verbal - Knowledge of a variety of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions across our healthcare technology platforms. This role involves: - Development based on AI/ GEN AI: - Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. - Experienced in multiple LLM fine tuning techniques. - Experienced in building GEN AI solutions using RAG architecture. - Skilled in both Lang Chain and Lang Graph. - Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. - Experienced in multiple Vector Databases as well as Graph Database. - Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. - End-to-End AI Solution Deployment: - Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing: - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration: - Skilled in API development and integrations. - Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization: - Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. - AI Research & Innovation: - Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security: - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement: - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. - Front End Development: - Streamlit is a must. Good to have React, Angular or Vue.js. - Leadership Skills: - Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy. Qualifications - Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field. - 12 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. - Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. What You Should Expect in This Role - Fully Remote Opportunity – Work from anywhere in India. - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.