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Optum

Lead Full Stack Engineer

Reposted 8 Hours Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Design, develop, test, and maintain full-stack software solutions. Participate in analysis, coding, debugging, automation, documentation, and R&D. Drive quality, evaluate tools, build utilities, and provide technical leadership to improve delivery and operational efficiency.
The summary above was generated by AI
Requisition Number: 2369770
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.
Primary Responsibilities
AI Solution Development & AIDLC• Develop and deploy AI-powered applications following AI Development Lifecycle (AIDLC) principles.• Translate business and product requirements into scalable AI-enabled solutions.• Contribute to the design, development, testing, deployment, monitoring, and continuous improvement of AI applications.• Partner with Applied Scientists and AI Engineers to operationalize machine learning and Generative AI solutions.• Support production readiness, adoption, and operational excellence of AI applications.
Full Stack Application Development• Develop modern full-stack applications using React, Next.js, TypeScript, Node.js, and Python.• Build responsive, accessible, and high-performing user interfaces using modern frontend engineering practices.• Create reusable UI components, libraries, and design patterns that improve consistency and developer productivity.• Develop REST APIs, GraphQL services, Backend-for-Frontend (BFF) services, and microservice-based applications.• Build real-time user experiences using WebSockets, Server-Sent Events (SSE), and event-driven architectures.
AI/ML & Generative AI Engineering• Integrate AI/ML capabilities into enterprise applications and business workflows.• Develop solutions utilizing:
o Machine Learning models
o Deep Learning models
o Large Language Models (LLMs)
o Retrieval-Augmented Generation (RAG)
o Vector Search and Semantic Retrieval
o Prompt Engineering
o Agentic AI workflows• Support development of AI copilots, conversational interfaces, recommendation engines, intelligent assistants, and workflow automation solutions.• Collaborate on model integration, inference services, evaluation frameworks, and AI quality improvements.
Platform Engineering & Production Operations• Build backend services supporting AI inference, orchestration, and enterprise integrations.• Develop cloud-native applications and distributed services supporting scalable AI workloads.• Implement MLOps, LLMOps, CI/CD, deployment automation, and monitoring practices.• Establish observability through logging, monitoring, tracing, alerting, and operational dashboards.• Optimize applications and AI workloads for performance, reliability, scalability, and cost efficiency.
Security, Quality & Engineering Excellence• Implement secure development practices including OAuth, SSO, RBAC, encryption, and enterprise security controls.• Follow Responsible AI, governance, compliance, and risk management requirements.• Participate in code reviews, architecture discussions, testing strategies, and quality assurance activities.• Contribute to reusable engineering frameworks, shared services, and platform accelerators.• Mentor junior engineers and promote engineering best practices within the team.• Bachelor's degree in computer science, Engineering, Information Technology, Artificial Intelligence, Data Science, or related field.• 8+ years of experience in software engineering, AI/ML engineering, or full stack application development.• Strong experience building enterprise applications using React, Next.js, TypeScript, Node.js, and modern frontend technologies.• Experience integrating AI/ML capabilities into applications and business workflows.• Hands-on experience with:
o Machine Learning models
o Large Language Models (LLMs)
o Retrieval-Augmented Generation (RAG)
o Prompt Engineering
o Semantic Search
o Agentic AI concepts and workflows• Proficiency in Python and backend frameworks such as FastAPI, Flask, or Django.• Experience developing APIs, microservices, and Backend-for-Frontend (BFF) architectures.• Understanding AI Development Lifecycle (AIDLC), SDLC, and production engineering practices.• Experience with MLOps, deployment automation, CI/CD pipelines, and monitoring solutions.• Experience working with cloud platforms such as Azure, AWS, or GCP.• Strong understanding of application security, observability, performance optimization, and reliability engineering.• Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Qualifications• Experience developing AI copilots, conversational AI applications, and intelligent automation solutions.• Experience with AI application frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar technologies.• Experience with vector databases and retrieval platforms including Pinecone, Weaviate, ChromaDB, pgvector, Azure AI Search, or equivalent solutions.• Experience with Databricks, Snowflake, Kafka, Spark, and modern data platforms supporting AI applications.• Experience building reusable UI frameworks, component libraries, and design systems.• Strong understanding of frontend performance optimization, accessibility standards, SSR/ISR, and responsive design principles.• Experience developing event-driven and real-time applications.• Familiarity with Docker, Kubernetes, Infrastructure-as-Code, and cloud-native deployment practices.• Experience contributing to technical design reviews, engineering standards, and application modernization initiatives.• Experience working within healthcare, financial services, insurance, or other regulated industries.
Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
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.
#IJP#NIC

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