Hybrid Full-Stack Developer bei Qode
Qode · South San Francisco, Vereinigte Staaten Von Amerika · Hybrid
- Professional
- Optionales Büro in South San Francisco
Job Opening: Full-Stack Developer – GenAI & LLM Applications
Location: South San Francisco (SSF)
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
