Senior AI Engineer

Hiring: AI Engineer – Generative AI, LLMs, RAG
Location: Mumbai – Lower Parel
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.

Work arrangement
Yes