Artificial Intelligence and Machine Learning Engineer

Infosys; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Infosys is seeking an AI/ML Engineer (Generative AI, ML, AWS) to design and deploy end-to-end ML pipelines and LLM-powered agents. You will leverage Python and ML libraries to build production-grade models and RAG architectures, integrating various LLM APIs with responsible AI guardrails.

The role requires hands-on experience with Generative AI, LLMs, AWS services, and vector databases. You will collaborate across teams to deliver scalable AI solutions in a fast-paced environment.

Qualifications

• Strong proficiency in Python and AI/ML libraries such as Pandas, NumNum, Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with OpenAI, Claude, Gemini, Llama, or similar foundation models.
• Strong understanding of Prompt Engineering, RAG, Embeddings, and Vector Databases.

Responsibilities

• Design/deploy ML pipelines and LLM-powered agents (RAG, Agentic AI) using AWS Bedrock, SageMaker, LangGraph
• Develop, train, and productionize ML models (churn, recommendation, forecasting) with MLOps practices
• Build RAG architectures, integrate LLM APIs, prompt engineering, and responsible AI guardrails
• Strong Python (Scikit-learn, TensorFlow, PyTorch); hands-on SageMaker; vector DBs (FAISS, Pinecone, OpenSearch)
• Must-have: Python, LangGraph/LangChain, Bedrock/OpenAI integration | Nice-to-have: LLM fine-tuning, LangSmith/W&B, AWS ML Specialty

Skills

Python

AI/ML libraries

LLMs

Prompt engineering

RAG

Embeddings

Vector Databases

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

LangChain

LangGraph

LlamaIndex

FAISS

Pinecone

OpenSearch

SageMaker

Bedrock

API Gateway

Git

CI/CD

Job description

AI/ML Engineer (Generative AI, ML,AWS) Strong proficiency in Python and AI/ML libraries such as Pandas, NumNum, Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Generative AI and Large Language Models (LLMs). Experience with OpenAI, Claude, Gemini, Llama, or similar foundation models. Strong understanding of Prompt Engineering, RAG, Embeddings, and Vector Databases. Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks. Hands-on experience with AWS Services such as: SageMaker Bedrock Lambda EC2 S3 Glue API Gateway CloudWatch Strong SQL and data processing skills. Experience with REST APIs and microservices architecture. Knowledge of Git, CI/CD, and Agile methodologies.

• Design/deploy ML pipelines and LLM-powered agents (RAG, Agentic AI) using AWS Bedrock, SageMaker, LangGraph
• Develop, train, and productionize ML models (churn, recommendation, forecasting) with MLOps practices
• Build RAG architectures, integrate LLM APIs, prompt engineering, and responsible AI guardrails
• Strong Python (Scikit-learn, TensorFlow, PyTorch); hands-on SageMaker; vector DBs (FAISS, Pinecone, OpenSearch)
• Must-have: Python, LangGraph/LangChain, Bedrock/OpenAI integration | Nice-to-have: LLM fine-tuning, LangSmith/W&B, AWS ML Specialty