Employer Industry: Data and Technology Services
Why Consider This Job Opportunity
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remotely, hybrid, or in-office
- Flexible time off including volunteer time off, vacation, sick leave, and 12 paid holidays
- Opportunity to work on innovative projects utilizing advanced technologies
What To Expect (Job Responsibilities)
- Design and deploy Retrieval-Augmented Generation (RAG) workflows using LangChain and vector databases
- Integrate and manage vector databases for optimized, high-speed vector searches and data retrieval
- Use AWS services to build serverless architectures and scalable containerized applications
- Build APIs with FastAPI and Uvicorn to support low-latency interactions
- Implement observability best practices to maintain performance and troubleshoot complex workflows
What Is Required (Qualifications)
- Proficiency in LLM and RAG workflows, including experience with LangChain and vector databases
- Strong Python proficiency (version >= 3.11)
- Experience in AWS environment
- Understanding of MCP servers
How To Stand Out (Preferred Qualifications)
- Experience in containerized environments using Docker
- Familiarity with monitoring tools such as Datadog and ddtrace
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