Artificial Intelligence Engineer

Infosys; Bengaluru; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

Infosys is seeking a senior AI engineer to architect and implement AI-driven IVR and conversational systems using Python. You will build NLP models for intent detection, perform SQL data analysis, and design LLM workflows including prompt engineering and RAG.

Lead multi-agent AI workflows and establish MLOps practices in production environments. The role requires hands-on experience with LangChain, Transformers, and vector databases; mentoring offshore teams and collaborating with product teams

Qualifications

• 9+ years of experience in AI / ML
• Strong Python proficiency
• Proven NLP expertise including text classification and clustering
• Data analysis experience using SQL
• Hands-on experience with LLMs: prompt engineering, evaluation frameworks, RAG
• Experience with Agentic AI and multi-agent orchestration
• Experience with LLMOps / MLOps in production environments
• Cloud Experience Libraries & Tools
• Python / ML: NumPy, Pandas, Scikit-learn, XGBoost
• NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
• LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
• Agentic AI tools: LangGraph, AutoGen, CrewAI
• Data & SQL: Oracle, MySQL, SQLAlchemy
• Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
• LLMOps / MLOps: MLflow, Weights & Biases, BentoML, Airflow

Responsibilities

• Architect and develop AI-driven IVR and conversational systems using Python
• Build NLP models for text classification and clustering to support intent detection and call routing
• Perform data analysis using SQL
• Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
• Lead development of agentic AI workflows for multi-step customer interactions
• Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management
• Partner with IVR platform, speech engineering, and product teams
• Mentor offshore and junior AI engineers

Skills

Python

NLP

SQL

LLMs

Prompt engineering

RAG

Agentic AI

MLOps

LangChain

Hugging Face

Tools

spaCy

Transformers

NLTK

Sentence-Transformers

OpenAI SDK

LangGraph

AutoGen

CrewAI

FAISS

Pinecone

Weaviate

Qdrant

MLflow

Weights & Biases

BentoML

Airflow

Job description

Key Skills

• AI Engineer 9+ years of experience in AI / ML
• Very strong proficiency in Python
• Proven expertise in NLP, including: o Text classification o Clustering
• Strong experience in data analysis using SQL
• Hands-on experience with LLMs: o Prompt engineering o Evaluation frameworks o Retrieval-Augmented Generation (RAG) Good to Have
• Experience with Agentic AI and multi-agent orchestration
• Experience with LLMOps / MLOps in production environments
• Cloud Experience Libraries & Tools
• Python / ML: NumPy, Pandas, Scikit-learn, XGBoost
• NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
• LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
• Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
• Data & SQL: Oracle, MySQL, SQLAlchemy
• Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
• LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

Key Responsibilities

• Architect and develop AI-driven IVR and conversational systems using Python
• Build NLP models for text classification and clustering to support intent detection and call routing
• Perform data analysis using SQL
• Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
• Lead development of agentic AI workflows for multi-step customer interactions
• Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management
• Partner with IVR platform, speech engineering, and product teams
• Mentor offshore and junior AI engineers