The role involves developing RAG workflows using LLMs, managing vector databases, and optimizing AWS-based microservices for high-volume applications.
Job description:
We are looking for a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems, with experience in large language models (LLMs), vector databases, and cloud-based microservices. Your role will focus on building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services like Lambda and ECS. You'll bring expertise in containerized environments, using Docker, and work with vector databases to power data-driven applications. You will report to a Staff Software Engineer and work remote in the United States or hybrid based on proximity to our office.
You'll Have Opportunity To
Required Skills:
We are looking for a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems, with experience in large language models (LLMs), vector databases, and cloud-based microservices. Your role will focus on building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services like Lambda and ECS. You'll bring expertise in containerized environments, using Docker, and work with vector databases to power data-driven applications. You will report to a Staff Software Engineer and work remote in the United States or hybrid based on proximity to our office.
You'll Have Opportunity To
- RAG Workflow Development: Design and deploy LLM-driven RAG workflows using LangChain and vector databases to provide high-accuracy data retrieval and enhanced content generation.
- Vector Database Management: Integrate and manage vector databases like Qdrant for optimized, high-speed vector searches and data retrieval.
- Cloud Computing: Use AWS services, including Lambda and ECS, to build serverless architectures and scalable containerized applications.
- API & Backend Development: Build APIs with FastAPI and Uvicorn to support low-latency interactions and handle high traffic volumes.
- Monitoring & Observability: Implement observability best practices using Datadog, ddtrace, and logging tools to maintain performance and troubleshoot complex workflows.
Required Skills:
- Proficiency in LLM and RAG Workflows: experience with LangChain and vector databases, applying RAG techniques for intelligent data retrieval and generation.
- Proficient in AWS environment
- Understanding of MCP Servers
Top Skills
AWS
Datadog
Docker
Ecs
Fastapi
Lambda
Langchain
Python
Uvicorn
Vector Databases
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Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
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