Senior Full Stack AI Engineer - UI, AIDLC
UnitedHealth Group
Bengaluru, Karnataka, IndiaSENIOR
Healthcare
Job Description
We're looking for a hands-on Senior Full Stack AI Engineer to support AI-powered applications.
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:
- Machine Learning models
- Deep Learning models
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector Search and Semantic Retrieval
- Prompt Engineering
- 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
Qualifications
- 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
- Hands-on experience with:
- Machine Learning models
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Semantic Search
- Agentic AI concepts and workflows
- Solid experience building enterprise applications using React, Next.js, TypeScript, Node.js, and modern frontend technologies
- Solid understanding of application security, observability, performance optimization, and reliability engineering
- Understanding AI Development Lifecycle (AIDLC), SDLC, and production engineering practices
- Proficiency in Python and backend frameworks such as FastAPI, Flask, or Django
- Proven solid analytical, problem-solving, communication, and collaboration skills
- Solid understanding of frontend performance optimization, accessibility standards, SSR/ISR, and responsive design principles
- Familiarity with Docker, Kubernetes, Infrastructure-as-Code, and cloud-native deployment practices
Nice to have
- Experience developing AI copilots.
- Experience with event-driven applications.