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Full-Stack Lead - GenAI & LLM Applications

<div><strong>Job Opening: Full-Stack Lead – GenAI &amp; LLM Applications</strong></div><div><strong>Location: South San Francisco (SSF) - Hybrid - 3 days onsite</strong></div><div><strong>Start Date: Immediate</strong></div><div><strong>&nbsp;</strong></div><div><strong>About the Role</strong></div><div>We are seeking a hands-on Full-Stack Developer with Generative AI expertise to join our team and lead the development of a real-time AI application leveraging AWS serverless architecture, FastAPI, and LLM-based pipelines. The ideal candidate is a builder with a deep understanding of full-stack development, cloud-native applications, and AI-powered user experiences.</div><div>&nbsp;</div><div><strong>Your Responsibilities</strong></div><div>● Build and enhance React-based frontends hosted on CloudFront</div><div>● Design scalable, low-latency APIs using FastAPI (Python) integrated with API Gateway (REST + WebSocket)</div><div>● Develop AWS Lambda functions for backend services, data handling, and orchestration</div><div>● Hands-on experience with OpenSearch for implementing scalable search functionality</div><div>● Manage authentication using SSO, and enable secure access flows</div><div>● Integrate real-time WebSocket interfaces for LLM streaming and dashboarding</div><div>● Work closely with data science teams to connect LLM pipelines (LangChain + RAG) and vector search mechanisms</div><div>● Design and maintain serverless data layers using DynamoDB, Aurora PostgreSQL, Athena, and S3</div><div>● Participate in CI/CD automation using GitHub Actions, CloudFormation/CDK, and manage IAM roles/policies</div><div>● Collaborate on data pipelines using AWS Glue, Airflow (MWAA), and Sagemaker for model training/inference</div><div>&nbsp;</div><div><strong>Key Technologies</strong></div><div>● Frontend: React, TypeScript, CloudFront</div><div>● Backend: FastAPI (Python), AWS Lambda, API Gateway (REST + WebSocket), Cognito</div><div>● Search &amp; Storage: OpenSearch, DynamoDB, Aurora PostgreSQL, S3, Athena</div><div>● GenAI &amp; RAG: LangChain, FAISS, Pinecone, OpenAI, Claude, AWS Bedrock</div><div>● Data Engineering: AWS Glue, Airflow (MWAA)</div><div>● DevOps: GitHub Actions, CloudFormation/CDK, IAM Roles</div><div>● Streaming &amp; Realtime: WebSockets, LLM streaming pipelines</div><div>&nbsp;</div><div><strong>You Should Have</strong></div><div>● Proven experience in building production-grade GenAI features using LLM APIs and RAG pipelines</div><div>● Hands-on experience with serverless app development on AWS</div><div>● Solid understanding of FastAPI, microservices architecture, and REST/WebSocket API design</div><div>● Comfort with both structured data (PostgreSQL) and NoSQL (DynamoDB)</div><div>● Experience working in a CI/CD DevOps environment with infrastructure-as-code</div><div>● Excellent problem-solving skills, and ability to troubleshoot complex cloud-native systems</div><div><br></div>