Gen AI Engineer

Job Title: Generative AI Engineer

Experience: 6–15 Years

Location: Bengaluru (Remote)

Notice Period: Immediate Joiners Preferred

Job Overview

We are looking for an experienced Generative AI Engineer with a strong background in data and hands-on expertise in modern AI technologies. The ideal candidate should have previously worked as a Data Analyst, Data Engineer, Data Scientist, or Python Developer and should have successfully designed and delivered multiple Generative AI solutions.

The candidate must have practical experience in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI, with a proven track record of delivering at least 3–5 GenAI-based projects or products.

Key Responsibilities

• Design, develop, and deploy scalable Generative AI solutions for business and enterprise use cases.

• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and enterprise data sources.

• Develop Agentic AI solutions capable of autonomous reasoning, planning, decision-making, and tool usage.

• Design and implement AI agents and multi-agent workflows for complex business processes.

• Integrate Large Language Models (LLMs) with structured and unstructured enterprise data.

• Work closely with Data Engineering, Data Science, and business teams to identify and develop AI use cases.

• Develop APIs and backend services to support GenAI applications and products.

• Evaluate, fine-tune, and optimize LLM performance for accuracy, relevance, latency, and scalability.

• Implement vector search, embeddings, and semantic retrieval solutions.

• Ensure GenAI applications follow best practices related to security, governance, scalability, and responsible AI.

• Take ownership of the end-to-end delivery of GenAI projects from solution design through production deployment.

Required Skills

• 6–15 years of overall IT experience.
  
• Strong previous experience in one or more of the following roles:
  
• Data Engineer or Data Scientist or Data Analyst
  

Python Developer

• Strong hands-on programming experience in Python.
  
• Hands-on experience with Generative AI and Large Language Models (LLMs).
  
• Strong practical experience in:
  
• Retrieval-Augmented Generation (RAG)
  

Agentic AI

• AI Agents and Multi-Agent Systems
  
• Prompt Engineering
  
• Embeddings and Semantic Search
  
• Vector Databases
  
• Experience with GenAI frameworks such as LangChain, LangGraph, LlamaIndex, or similar frameworks.
  
• Experience working with LLMs such as OpenAI GPT models, Claude, Llama, Gemini, or other open-source/commercial models.
  
• Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or similar.
  
• Strong understanding of data processing, data pipelines, APIs, and databases.
  
• Experience deploying AI/ML or GenAI applications into production environments.
  
• Knowledge of cloud AI platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, or similar is preferred.
  

Mandatory Experience

• Must have successfully delivered at least 3–5 Generative AI-based projects or products.
  
• Demonstrated hands-on experience in building and deploying RAG-based applications.
  
• Demonstrated hands-on experience with Agentic AI or AI Agent workflows.
  
• Strong data background with previous experience in Data Engineering, Data Science, Data Analytics, or Python Development.