Senior LLM Engineer / AI Engineer

Remote
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AI Summary

We are seeking a Senior LLM Engineer / AI Engineer to build and deploy scalable generative AI solutions. The ideal candidate will have strong experience in Python, LangChain, and RAG pipelines. Key responsibilities include developing Python-based APIs, building and optimizing RAG pipelines, and deploying AI solutions on AWS.

Key Highlights
Build and deploy scalable generative AI solutions
Develop Python-based APIs using FastAPI or Flask
Deploy and manage AI solutions on AWS
Key Responsibilities
Develop Python-based APIs using FastAPI or Flask
Build and optimize RAG pipelines using LangChain
Work with vector databases (Pinecone, FAISS, Chroma, etc.)
Implement retrievers and improve search relevance
Deploy and manage AI solutions on AWS
Technical Skills Required
Python LangChain RAG pipelines FastAPI Flask Pinecone FAISS Chroma AWS SQL/NoSQL databases
Benefits & Perks
100% Remote
Long-term Contract
40 hours/week
Nice to Have
Grafana/Tableau
model fine-tuning
GPT/BERT experience

Job Description


Role: LLM Engineer

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long term

Work Hours: IST

Work Schedule: 8 hours/day (Mon-Fri)

Location: 100% Remote


We are looking for an LLM Engineer / AI Engineer with strong experience in Python, LangChain, and RAG pipelines to build and deploy scalable generative AI solutions.


Key Responsibilities

Develop Python-based APIs using FastAPI or Flask

Build and optimize RAG pipelines using LangChain

Work with vector databases (Pinecone, FAISS, Chroma, etc.)

Implement retrievers and improve search relevance

Deploy and manage AI solutions on AWS (Lambda, EC2, S3, etc.)

Collaborate with cross-functional teams on AI-driven applications


Requirements

Strong Python programming experience

Hands-on experience with LangChain and RAG pipelines

Experience with vector databases and embeddings

Experience deploying applications on AWS

Knowledge of SQL/NoSQL databases

Strong problem-solving and communication skills

Nice-to-Haves: Grafana/Tableau, model fine-tuning, GPT/BERT experience


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