Job details

Full-Stack Lead - GenAI & LLM Applications

Job Opening: Full-Stack Lead – GenAI & LLM Applications

Location: South San Francisco (SSF) - Hybrid - 3 days onsite

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

Full-Stack Developer Generative AI LLM FastAPI AWS Serverless React CI/CD Microservices WebSocket RAG LangChain OpenSearch DynamoDB Aurora S3 Python TypeScript

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Average salary estimate

$150000 / YEARLY (est.)

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max

$120000K

$180000K

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