Advisory Services Consultant - Full Stack AI Engineer

Noida, Uttar Pradesh
Permanent
Full-time

21 days ago

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.We are looking for a Full Stack AI Engineer who can design, build, and operate end-to-end AI-powered applications for healthcare use cases. This role blends solid full stack engineering fundamentals with hands-on experience applying modern AI/ML and LLM technologies in production systems.You will work across frontend, backend, and AI layers to deliver scalable, secure, and user-centric solutions, owning features from concept to production and continuously improving them using data.Primary Responsibilities:

Translate functional requirements into scalable, maintainable AI components
Design, build, and maintain end-to-end enterprise applications using modern frontend and backend frameworks
Develop scalable backend services and APIs (REST/GraphQL) to support AI-driven use cases
Ensure high standards for performance, reliability, security and maintainability
Write clean, testable, well-documented code and participate in code reviews
Design and implement AI-powered features including LLM-based workflows, retrieval-augmented generation (RAG), agents and prompt-driven systems
Integrate AI models into applications using APIs and SDKs (open-source or enterprise-approved)
Collaborate on model evaluation, prompt tuning, and experimentation to improve quality and accuracy
Apply responsible AI principles including security, privacy, explainability and bias mitigation
Ensure secure, compliant PHI/PII handling aligned with regulatory requirements
Apply LLM Ops best practices for RAG and agentic system deployment
Deploy and operate applications in cloud environments using CI/CD pipelines
Monitor application and AI system performance, reliability and cost
Troubleshoot production issues across frontend, backend and AI components
Partner with product managers, designers and other engineers to translate business needs into technical solutions
Contribute to architectural decisions, reusable frameworks and technical standards
Mentor junior engineers and promote best practices across the team
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

7+ years of experience in full-stack software development
Solid hands-on experience building or integrating AI/ML or LLM-based solutions, prompt engineering, RAG pipelines and/or AI agents
Experience with APIs, databases and distributed systems
Experience deploying AI solutions in production environments
Experience with DevOps, CI/CD, observability and infrastructure as code
Proficiency in frontend technologies (e.g., React, Angular, or similar)
Proficiency in backend development (e.g., Node.js, Python, Java, or similar)
Solid understanding of software engineering fundamentals including data structures, APIs, testing and design patterns
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), RAG fundamentals, agent workflows and vector databases
Knowledge of cloud platforms (Azure, AWS, or GCP)
Background in security, compliance or regulated environments
Solid analytical mindset and problem-solving skills
Ability to work in fast-paced consulting and product delivery environments
Proven clear communication with technical and non technical stakeholders
Demonstrates passion for building AI systems that drive real world impact in healthcare

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

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