Position: AI/ML Engineer (LLM & RAG)
Experience: 1–3 Years
Location: Remote

Compensation : 15000-20000 per month
Employment Type: Full-Time

About the Role

We are looking for an experienced AI/ML Engineer to design, build, and scale enterprise-grade Generative AI solutions. The ideal candidate should have solid 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.

Required Skills

- 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

Preferred Skills

- Hugging Face ecosystem
- vLLM, Ollama, or TensorRT-LLM
- Docker and Kubernetes
- Redis or Elasticsearch
- GraphRAG and Knowledge Graphs
- AWS, Azure, or Google Cloud
- Monitoring and observability tools (LangSmith, Phoenix, Weights & Biases)

Preferred Qualifications

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Contributions to open-source AI projects or an active GitHub profile.
- Experience deploying enterprise-grade AI applications.

What We Offer

- 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

Pay: ₹15,000.00 - ₹20,000.00 per month

Benefits:

- Flexible schedule
- Work from home

Work Location: Remote

📌 AI/ML Engineer (LLM & RAG) (India)
🏢 DEXTORA AI EDUCATION PRIVATE
📍 India