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LLM Engineering

2 months ago

kakinada, India micro1 Full time

Role: LLM Engineer  (Rag)

Location: Pune (in-office, open to Bangalore and Delhi as well)

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.