Senior AI Engineer

Enormous Enterprise LLC; Bengaluru; On-site; INR 2,800,000 - 4,800,000; Full time

Job summary

Enormous Enterprise LLC is seeking a hands-on Senior AI Engineer in Bengaluru. You will work on production-grade AI solutions across Python, classical ML, and Deep Learning, including Generative AI, RAG, and Agentic AI.

The role emphasizes building scalable services and maintaining AI systems in production. Ideal candidates have 5+ years of experience, strong Python skills, and practical exposure to ML/DL, Scikit-learn, and PyTorch or TensorFlow.

Qualifications

• 5+ years of relevant experience in AI/ML engineering.
• Strong Python programming and software development skills.
• Hands-on experience with classical ML and deep learning.
• Experience with Scikit-learn and PyTorch and/or TensorFlow.
• Exposure to LLMs, RAG, and/or Agentic AI concepts.
• Experience with MCP and Snowflake.
• Relevant degree in CS, Engineering, AI, Data Science, or related field.

Responsibilities

• Develop, train, evaluate, fine-tune, and deploy ML/DL models.
• Apply classification, regression, clustering, feature engineering, model selection, and hyperparameter tuning.
• Build AI applications using Python, Scikit-learn, PyTorch, and/or TensorFlow.
• Work with LLM architectures, embeddings, prompt engineering, context management, and LLM evaluation.
• Develop RAG pipelines involving document processing, embeddings, retrieval, and vector databases.
• Design and implement Agentic AI systems with stateful workflows and multi-step reasoning.
• Build scalable AI services using REST APIs, FastAPI, microservices, and sound software engineering practices.
• Support production deployment, monitoring, model versioning, and basic MLOps/LLMOps.
• Collaborate with Snowflake for data engineering and AI workloads.
• Follow responsible AI practices regarding privacy, security, and compliance.

Skills

Python programming

Software development

ML/DL

LLMs/RAG/Agentic AI

MCP

Snowflake

Education

Bachelors in CS/Engineering/AI/Data Science

Tools

Scikit-learn

PyTorch

TensorFlow

LangGraph

Job description

Job Overview

We are looking for a hands-on Senior AI Engineer with strong experience in Python, classical Machine Learning, Deep Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI. The candidate should have experience building, deploying, and maintaining production-grade AI solutions.

Company

Enormous Enterprise LLC

Location

Bengaluru, Karnataka, India

Pay

DOE

Posted

October 29, 2026

Description

Senior AI Engineer

Location: Bangalore

Experience: 5+ years

Job Overview

We are looking for a hands-on Senior AI Engineer with strong experience in Python, classical Machine Learning, Deep Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI. The candidate should have experience building, deploying, and maintaining production-grade AI solutions.

Key Responsibilities

• Develop, train, evaluate, fine-tune, and deploy Machine Learning and Deep Learning models.
• Apply classification, regression, clustering, feature engineering, model selection, hyperparameter tuning, and model evaluation techniques.
• Build AI applications using Python, Scikit-learn, PyTorch, and/or TensorFlow.
• Work with LLM architectures, embeddings, prompt engineering, context management, and LLM evaluation.
• Develop RAG pipelines involving document processing, chunking, embeddings, retrieval, reranking, and vector databases.
• Design and implement Agentic AI systems, including stateful workflows, multi-step reasoning, tool calling, planning, routing, and orchestration.
• Use LangGraph for agentic workflows and integrate AI agents with APIs, enterprise systems, databases, and external tools.
• Apply the Model Context Protocol (MCP) in AI-agent and tool-integration workflows.
• Build scalable AI services using REST APIs, FastAPI, microservices, and sound software engineering practices.
• Support production deployment, monitoring, model versioning, and basic MLOps/LLMOps.
• Work with Snowflake for data engineering, analytics, and AI workloads.
• Follow responsible AI practices relating to privacy, security, compliance, bias, explainability, and model risk.

Mandatory Skills

• 5+ years of relevant experience.
• Strong Python programming and software development skills.
• Practical experience in classical ML and Deep Learning.
• Experience with Scikit-learn and PyTorch and/or TensorFlow.
• Hands-on exposure to LLMs, RAG, and/or Agentic AI.
• Experience with MCP.
• Experience with Snowflake.
• Relevant degree in Computer Science, Engineering, AI, Data Science, or a related discipline.

Preferred Skills

• LangGraph and multi-agent orchestration.
• Production-grade GenAI application development.
• Cloud platforms, particularly AWS.
• Model deployment, monitoring, and LLMOps.
• AI governance, responsible AI, privacy, security, and compliance.