Must have Skills : Generative AI Fundamentals (Strong), Python for Data Science (Strong), Data science on AWS (Strong), Vector Illustration
Key Responsibilities:
- An ideal candidate has extensive hands-on python experience with a heavy focus and curiosity in GenAI over the last 2 years.
- 6+ Years experience building RESTful APIs on Python, with SDKs like FastAPI (ideal), Flask, etc.
- Experience scaling GenAI solutions to thousands of users in production is ideal
- Experience with RAG, understands of decisions made for the chunking strategy
- Experience with cloud deployments of services (lambda, ecs, or eks) related to GenAI solutions
- Understanding of, ideally experience with, unstructured.io, llama index, langchain, and other mainstream RAG components
- Understanding of knowledge graphs and graph RAG, and how to leverage LLMs to create and manage
- Understanding of retrieval mechanisms like vector dbs and search
- Understanding of agentic workflows
- Consistently curious about the GenAI space, experimenting and exploring.
