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Full-Stack Developer – GenAI & LLM Applications

Full-Stack Developer – GenAI & LLM Applications

Silicontek IncSouth San Francisco, CA, United States
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Duration : 18 Months

Industry : Pharma Industry

Full-Stack Developer – GenAI & LLM Applications

Location : South San Francisco (SSF) (Onsite, Hybrid 3 days / onsite)

Type : Contract

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 and ECS 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 pipeline.
  • Hands-on experience with serverless app development on AWS
  • Solid understanding of FastAPI , microservices architecture, docker / container 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
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    Application Developer • South San Francisco, CA, United States