Senior AI Engineer

Company

Enormous Enterprise LLC Location: Bengaluru, Karnataka, India

Pay

DOE

Posted

October 29, 2026 Apply

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.
  

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