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Senior AI Engineer


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 20 August 2026 (13 hours ago)
Application Deadline: 17 November 2026
Vacancies: 1 Vacancy

Job Summary

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.
Good understanding of Lakehouse architecture.
Experience building and managing CI/CD pipelines.
Strong understanding of APIs microservices cloud platforms and production deployments.


Required Skills:

DATA STORAGECI/CDAPISML