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Senior LLM Engineer
2 months ago
Role: LLM Engineer
Type: Fulltime
Job Description
Looking for a senior LLM Engineer who has solid experience doing production deployments. People who have been developing solutions hands-on, not just building prototypes and POCs, we need an end-to-end experience.
Must have:
• Python development (3-4 years)
• API Development with Fast API or Flask
• Software Engineering: well versed with APIs, using WebSockets, doing production deployments
• AWS services experience: working using services to spin up machines, EC2 machines, and deploy their solution using AWS setup - could be SageMaker or simple EC2 machines.
• AWS Architecture knowledge: if they develop something in Python, they should know how to interact with AWS services, how to use the databases there, and how to use some inbuilt packages as well.
• Solid LLM/GenAI experience: anyone who has worked with this has probably used one of the main frameworks such as Langchain, LlamaIndex and DSPy. They're not mandatory but they're a good
indicator of a solid experience. They must have experience with GenAI tools like Open AI, Langchain, vector DB…
• Recent LLM hands-on experience (2 years): during the past 2 years they must have been working with prompt engineering, implementing RAG…
• Familiarity with Kubernetes: Should be able to build pipelines, be familiar with containerizing and creating API endpoints and then hand them over to DevOps engineers to take care of deployment with Kubernetes. They won't be doing deployment.
Nice to have:
• Azure
• Experience fine tuning open-source models. Not as a hobby, but a serious thing that has been deployed.