Job Summary

We are seeking a highly skilled Generative AI Engineer with robust expertise in Python, Machine Learning, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), and Cloud Technologies. The ideal candidate will design, develop, and deploy scalable AI-powered applications leveraging up-to-date AI frameworks, vector databases, cloud platforms, and microservices architecture.

Key Responsibilities

Generative AI & LLM Development
Design and implement AI-powered applications using Large Language Models (GPT, Llama, Claude, Gemini, Mistral, etc.).
Build and optimize Retrieval Augmented Generation (RAG) pipelines for enterprise use cases.
Develop conversational AI solutions, chatbots, virtual assistants, and AI agents.
Create and optimize prompts using advanced Prompt Engineering techniques.
Fine-tune, evaluate, and deploy LLMs for business-specific requirements.
Integrate AI solutions with enterprise applications and APIs.

Machine Learning & NLP
Develop, train,



and deploy Machine Learning models using Python-based frameworks.
Implement NLP solutions including:
Text Classification
Named Entity Recognition (NER)
Sentiment Analysis
Information Extraction
Document Processing
Semantic Search
Perform model monitoring, evaluation, and performance optimization.

RAG & Vector Databases
Build scalable RAG architectures using LangChain and related frameworks.
Implement embedding generation and semantic search solutions.
Work with vector databases such as:
Pinecone
ChromaDB
Weaviate
FAISS
Milvus
Azure AI Search
Optimize retrieval accuracy, latency, and relevance.

Backend Development
Develop scalable backend services using:
Python
Java
Spring Boot
Build and maintain RESTful APIs and microservices.
Design robust integration layers between AI models and enterprise systems.

Cloud & DevOps
Deploy AI and ML workloads on:
AWS
Azure
Develop serverless applications

📌 Artificial Intelligence Engineer Pan India Bengaluru
🏢 Infosys
📍 Bengaluru