Qualifications - External
10+ years of experience in software engineering, AI/ML engineering, or full-stack application development.
Strong background in AI/ML engineering and enterprise AI solution delivery.
Proven experience developing full-stack applications using React, Next.js, TypeScript, Node.js, and contemporary frontend frameworks.
Experience building production-grade AI applications integrating:
Machine Learning Models
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI Workflows
Semantic Search
Proficiency in Python and backend frameworks such as FastAPI, Flask, or Django.
Experience designing APIs, microservices, BFF architectures, and distributed systems.
Solid understanding of AI Development Lifecycle (AIDLC), software development lifecycle, and production engineering practices.
Experience implementing MLOps, LLMOps, CI/CD, monitoring, and deployment automation.
Cloud-native development experience on Azure, AWS, or GCP.
Solid understanding of application security, observability, reliability, and performance optimization.
Proven ability to lead engineering initiatives and collaborate with cross-functional teams.

Preferred Qualifications
Experience developing enterprise AI copilots,



conversational AI applications, and intelligent automation solutions.
Hands-on experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar AI frameworks.
Experience with vector databases and semantic retrieval platforms including Pinecone, Weaviate, ChromaDB, pgvector, Azure AI Search, or equivalent technologies.
Experience with Databricks, Snowflake, Kafka, Spark, and modern enterprise data platforms.
Experience building reusable UI platforms, component libraries, and design systems.
Expertise in frontend performance optimization, accessibility standards (WCAG), SSR/ISR patterns, and responsive design.
Experience developing event-driven and real-time applications.
Familiarity with Kubernetes, Docker, Infrastructure-as-Code, and cloud-native deployment practices.
Experience leading technical design reviews, mentoring engineers, and driving enterprise engineering standards.

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.

📌 Lead Full Stack Engineer Bengaluru
🏢 Optum
📍 Bengaluru