Job Description - AI Engineer

Experience: 8-10 Years

Location: Bangalore

Work Mode: Onsite

Domain: Digital / Artificial Intelligence

Key Responsibilities

Design, develop, and deploy AI Agent-based applications using modern agent frameworks.

Develop AI agents using LangChain, LangGraph, or similar frameworks.

Implement Guardrails to ensure safe, reliable, and controlled AI-agent behavior.

Design and implement cognitive/agentic patterns such as ReAct, OODA, and similar reasoning patterns.

Build agent memory, feedback mechanisms, state management, and context persistence.

Develop and integrate MCP (Model Context Protocol) servers/tools for connecting AI agents with enterprise systems and external services.

Work closely with Prompt Engineers, AI/ML Engineers, and Data Engineers to build production-ready GenAI solutions.

Develop and maintain CI/CD pipelines for AI/ML and agent-based applications.

Work with Snowflake for data storage, processing, analytics, and AI/ML workloads.

Work with Databricks and Lakehouse architecture for data engineering, analytics, and AI workloads.





Develop scalable solutions integrating LLMs, data platforms, APIs, and enterprise applications.

Monitor, troubleshoot, optimize, and improve AI-agent applications in production.

Follow best practices for security, observability, testing, deployment, and governance of AI applications.

Mandatory Skills

8-10 years of software development experience.

Strong experience with AI / Generative AI / AI Agents.

Hands-on experience with LangChain, LangGraph, or similar agent frameworks.

Knowledge of React, OODA or other agentic/cognitive patterns.

Experience implementing Guardrails for AI applications.

Experience with Agent Memory, Feedback Loops, State Management.

Experience with MCP (Model Context Protocol).

Strong experience with Snowflake.

Hands-on experience with Databricks.

Valuable understanding of Lakehouse architecture.

Experience building and managing CI/CD pipelines.

Strong u

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