AI Software Engineer

Job Description

About the Team

The Consumer Engineering (CE) team is responsible for building all consumer-facing experiences. We are expanding our capabilities to power the next generation of AI-driven consumer experiences that surprise and delight. We plan to achieve this by building innovative new platforms, frameworks, and solutions designed to make healthcare easy and personalized. As a Software Engineer on this team, you will be a key technical contributor, designing and building the core AI/ML systems that drive these experiences.

Key Challenges

Simplifying Healthcare Complexity: Apply your engineering skills and AI/ML techniques to build systems that navigate the intricate healthcare landscape, making it easier for millions of users to access care.

Building Scalable AI Systems: Design, implement, and deploy robust, production-grade AI solutions capable of handling large volumes of data and user interactions within our consumer-facing applications.

Driving Rapid Innovation: Implement and experiment with new AI advancements (like LLMs) to solve real-world healthcare problems effectively and ethically, contributing practical solutions.

Cross-Functional Integration: Build and integrate AI capabilities seamlessly into broader consumer experiences, collaborating effectively with product, design, and fellow engineers.

What You'll Do

Contribute to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms, under the guidance of senior engineers.

Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing high-quality, robust production code.

Assist with the implementation and management of cloud infrastructure for AI solutions, learning and applying Infrastructure as Code principles

Utilize and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency.

Actively seek guidance and learn from senior engineers through code reviews, pair programming, and technical discussions

Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions.

Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges.

Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments.

Contribute to a team culture focused on technical excellence, continuous learning, and curiosity.

What We're Looking For

Core Experience: 2-3 years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems.

AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly.

Strong Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code.

Technical Breadth: Familiarity and hands-on experience with relevant technologies such as backend services (e.g., ), cloud platforms (AWS/GCP/Azure), front-end frameworks (e.g., React Native helpful), CI/CD pipelines, REST/WebSocket API development, and database technologies.

Broad ML Domain Knowledge: Practical experience or strong knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection.

LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring).

Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity.

Ownership & Drive: You are self-driven, take immense pride in your technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions.

Inherent Curiosity: You possess a strong desire to understand how and why things work, driving you to build better, more efficient systems.

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

Nice-to-Haves:

Experience building large-scale, consumer-facing applications.

Experience working within the healthcare industry or another regulated environment.

Contributions to relevant open-source projects or building any demo-worthy side projects and SaaS products

What Makes This Role Special

Direct Impact: Your work directly contributes to improving health outcomes and simplifying the healthcare experience for millions of people.

Meaningful Challenges: Tackle complex, intellectually stimulating problems at the intersection of AI and healthcare.

Cutting-Edge Technology: Be at the forefront of applying advanced AI/ML, including LLMs, to build next-generation consumer experiences.

Full Lifecycle Ownership: Opportunity to work across the entire AI lifecycle, from initial idea to production deployment and iteration.

Growth & Development: Join a supportive team within a large organization that offers comprehensive benefits, career development pathways, and a culture focused on learning.

Collaborative Culture: Work alongside diverse, talented peers in an inclusive environment guided by principles of Caring, Connecting, and Growing together.

Mission-Driven: Contribute to advancing health equity on a global scale as part of a leading healthcare organization.

What we offer

• Market Total Rewards Package
• Retirement Plan
• Medical Plan (HMO) from Day 1 of employment
• Dental, Medical, and Optical Reimbursements
• Life and Disability Insurance
• Paid Time-Off Benefits
• Sick Leave Conversion
• Tuition Fee Reimbursement
• Employee Assistance Program (EAP)
• Annual Performance Based Merit Increases
• Employee Recognition
• Training and Staff Development
• Employee Referral Program
• Employee Volunteerism Opportunity
• All Mandatory Statutory Benefits

Who we are

Optum is the health care technology and innovation company of the UnitedHealth Group enterprise along with UnitedHealthcare. As part of a Fortune 5 enterprise, we are improving the health care experience of over 125 million people around the world. We're a diverse team with operations across North America, South America, Europe, Asia Pacific and the Middle East. This includes our over 25,000 employees in the Philippines. Elevate your career with a leading health care company while improving lives.

Spotlight

• Annual leaves, Rewards & recognition, Retirement benefits

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