AI/ML Engineer (LLM & RAG)

Role Overview

We are looking for an experienced AI/ML Engineer to design, build, and scale enterprise-grade Generative AI solutions. The ideal candidate should have strong expertise in Large Language Models, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and modern AI orchestration frameworks.

Responsibilities

• Design and develop scalable LLM-powered applications.
• Build production-ready Retrieval-Augmented Generation (RAG) systems.
• Design document ingestion, indexing, and retrieval pipelines.
• Integrate and optimize Vector Databases for high-performance semantic search.
• Develop AI agents and workflows using LangChain and/or LlamaIndex.
• Implement prompt engineering strategies and prompt optimization techniques.
• Fine-tune open-source LLMs where appropriate.
• Evaluate model performance using standard AI evaluation metrics.
• Optimize latency, token usage, and overall system cost.
• Build REST APIs and microservices using Python.
• Deploy AI solutions to cloud environments.
• Collaborate with product, engineering, and data teams to deliver AI-driven products.
• Stay up to date with the latest advancements in Generative AI and LLM technologies.

Requirements

• 1 - 3 years of experience in AI/ML or NLP development.
• Strong expertise with Large Language Models: OpenAI, Claude, Gemini
• Open-source LLMs (Llama, Mistral, Qwen, etc.)
• Strong experience with Retrieval-Augmented Generation (RAG)
• Hands-on experience with Vector Databases: Pinecone, Weaviate, Chroma, FAISS
• Strong Prompt Engineering skills
• Experience with LangChain and/or LlamaIndex
• Experience in fine-tuning and evaluating LLMs
• Strong Python programming skills
• Experience with FastAPI or Flask
• Knowledge of embeddings, semantic search, reranking, and hybrid search
• Familiarity with Git and CI/CD workflows
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Skills

• Python
• LangChain
• Vector Databases
• Large Language Models
• FastAPI

Benefits

• Fully Remote Work
• Competitive Salary
• Flexible Working Hours
• Opportunity to work on cutting-edge Generative AI products
• Learning and certification support
• Collaborative, innovation-driven engineering culture
• Career growth opportunities in advanced AI technologies