Company

Enormous Enterprise LLC

Location

Bengaluru, Karnataka, India

Pay

DOE

Posted

October 29, 2026

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Description

Senior AI Engineer

Location: Bangalore

Experience: 5+ years

Job Overview

We are looking for a hands-on Senior AI Engineer with robust 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.

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📌 Senior AI Engineer (Bengaluru)
🏢 Enormous Enterprise
📍 Bengaluru