Senior AI Engineer

Quantal AI; Mumbai; On-site; INR 1,800,000 - 4,000,000; Full time

Job summary

Quantal AI is seeking an AI Engineer with hands-on Generative AI and LLM experience to build real-world GenAI solutions, including RAG systems and intelligent agents.

You will design end-to-end AI pipelines, optimize embeddings, and deploy scalable backend APIs with FastAPI/Flask, collaborating with cross-functional teams to translate business needs into AI-enabled products.

Qualifications

• 3+ years of AI/ML experience with Generative AI projects.
• Strong knowledge of LLMs, transformers, and RAG architectures.
• Proficiency in Python and libraries such as PyTorch, TensorFlow, Hugging Face Transformers.
• Experience in building or integrating REST APIs using FastAPI or Flask.
• Familiarity with vector databases like Pinecone, FAISS, or Weaviate.
• Hands-on experience with prompt engineering, embeddings, and semantic search.
• Strong problem-solving skills in fast-paced environments.

Responsibilities

• Design, develop, and deploy Generative AI solutions using LLMs for real-world use cases.
• Build and optimize RAG pipelines with LangChain, LangGraph, and LlamaIndex.
• Develop LLM-powered apps and agents with multi-step workflows and tool integrations.
• Implement prompt engineering, context management, and response optimization.
• Work with embeddings and vector search using Pinecone/FAISS/Weaviate.
• Develop scalable backend APIs with FastAPI or Flask.

Skills

Generative AI

LLMs

Python

REST APIs (FastAPI/Flask)

Vector DBs (Pinecone/FAISS/Weaviate)

Prompt engineering

Problem solving

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

FAISS

Weaviate

FastAPI

Flask

Job description

Experience: 3+ Years

Notice Period: Immediate to 15days

Role Overview:

We are looking for a highly driven AI Engineer with hands-on experience in Generative AI and Large Language Models (LLMs). This role offers the opportunity to work on cutting-edge AI solutions, including RAG systems, intelligent agents, and scalable GenAI applications used in real-world business scenarios.

Key Responsibilities:

• Design, develop, and deploy Generative AI solutions leveraging LLMs for real-world use cases.


• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using frameworks like LangChain, LangGraph, and LlamaIndex.


• Develop LLM-powered applications and agents, including multi-step workflows and tool integrations.


• Implement prompt engineering strategies, context management, and response optimization.


• Work on embedding models and vector search systems using tools like Pinecone, FAISS, or similar.


• Develop and maintain scalable backend APIs using FastAPI or Flask for AI applications.


• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.


• Experiment with fine-tuning, model optimization, and evaluation techniques for LLMs.


• Stay up to date with the latest advancements in Generative AI, agent frameworks, and LLM ecosystems.

Mandatory Skills & Expertise:

• 3+ years of experience in AI/ML, with hands-on exposure to Generative AI projects.


• Strong understanding of LLMs, transformers, and RAG architectures.


• Proficiency in Python and libraries such as PyTorch, TensorFlow, Hugging Face Transformers.


• Experience in building or integrating REST APIs using FastAPI or Flask.


• Familiarity with vector databases like Pinecone, FAISS, or Weaviate.


• Hands-on experience or understanding of prompt engineering, embeddings, and semantic search.


• Strong problem-solving skills and ability to work in a fast-paced environment.