Key skills
Full stack application developmentReactNext.jsPostgreSQLPythonAI powered solutions integrationLarge language model (LLM) integrationsAI promptingAI APIsAgentic AI frameworksTechnical solution designAIMLLLMAgenticECSPerformance OptimizationSDLCDecision Making
About this role
Optum is a global leader in health care innovation, focusing on developing solutions that enhance patient care through advanced technologies. The AI ML Engineer role involves designing, developing, and implementing AI/ML solutions that improve clinical workflows, collaborating with various stakeholders to translate business challenges into technical solutions.
Responsibilities:
- Design, develop, test, and deploy full stack applications using React, NextJS, PostgreSQL, and Python
- Build and integrate AI powered solutions, including agentic workflows using frameworks such as CrewAI, Agno, or Google ADK
- Apply AI Dojo training to implement responsible, scalable AI patterns and solutions
- Translate product and business requirements into scalable, high quality technical solutions
- Develop and maintain backend services, APIs, and data models supporting AI and non AI workloads
- Collaborate closely with product, architecture, data, and DevOps teams across the SDLC
- Contribute to design reviews, code reviews, and technical decision making
- Support delivery of AI 10.0 and ECS Big Bet initiatives through hands on engineering execution
- Troubleshoot issues, optimize systems, and continuously improve performance, reliability, and maintainability
Requirements:
- Bachelor's degree in Computer Science or a related field or 2+ years of equivalent practical experience
- 3+ years of professional software engineering experience in full stack application development
- 2+ years of solid hands on experience with React, Next.js, PostgreSQL, and Python
- 2+ years of experience building and integrating AI powered solutions into production applications (including LLM integrations, prompting, and APIs)
- 2+ years of exposure to agentic AI frameworks such as CrewAI, Agno, Google ADK, or similar AI orchestration frameworks
- 2+ years of experience translating business and product requirements into scalable, high quality technical solutions
- 2+ years of experience collaborating cross functionally with product, architecture, data, QA, and DevOps teams
- Solid understanding of SDLC principles, code quality, performance optimization, and security best practices
- Demonstrated ability to work independently on complex problems, contribute to team solutions, and deliver against committed timelines
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy