Full-Stack Developer GenAI & LLM Applications

Job Opening: Full-Stack Developer GenAI & LLM Applications

Location: South San Francisco (SSF)(Hybrid)

Start Date: Immediate

About the Role

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.

Your Responsibilities

• Build and enhance React-based frontends hosted on CloudFront
• Design scalable, low-latency APIs using FastAPI (Python) integrated with API Gateway (REST + WebSocket)
• Develop AWS Lambda functions for backend services, data handling, and orchestration
• Hands-on experience with OpenSearch for implementing scalable search functionality
• Manage authentication using SSO, and enable secure access flows
• Integrate real-time WebSocket interfaces for LLM streaming and dashboarding
• Work closely with data science teams to connect LLM pipelines (LangChain + RAG) and vector search mechanisms
• Design and maintain serverless data layers using DynamoDB, Aurora PostgreSQL, Athena, and S3
• Participate in CI/CD automation using GitHub Actions, CloudFormation/CDK, and manage IAM roles/policies
• Collaborate on data pipelines using AWS Glue, Airflow (MWAA), and Sagemaker for model training/inference

Key Technologies

• Frontend: React, TypeScript, CloudFront
• Backend: FastAPI (Python), AWS Lambda, API Gateway (REST + WebSocket), Cognito
• Search & Storage: OpenSearch, DynamoDB, Aurora PostgreSQL, S3, Athena
• GenAI & RAG: LangChain, FAISS, Pinecone, OpenAI, Claude, AWS Bedrock
• Data Engineering: AWS Glue, Airflow (MWAA)
• DevOps: GitHub Actions, CloudFormation/CDK, IAM Roles
• Streaming & Realtime: WebSockets, LLM streaming pipelines

You Should Have

• Proven experience in building production-grade GenAI features using LLM APIs and RAG pipelines
• Hands-on experience with serverless app development on AWS
• Solid understanding of FastAPI, microservices architecture, and REST/WebSocket API design
• Comfort with both structured data (PostgreSQL) and NoSQL (DynamoDB)
• Experience working in a CI/CD DevOps environment with infrastructure-as-code
• Excellent problem-solving skills, and ability to troubleshoot complex cloud-native systems