Senior Principal Engineer – Agentic AI

Senior Principal Engineer – Agentic AI

Location

Bangalore (Onsite)

Experience

12–18 Years

Job Type

Contract (12 Months)

Salary

₹36.48 LPA

Job Overview

We are hiring an experienced Senior Principal Engineer to design, develop, and deploy production-grade Agentic AI solutions. The role involves building AI-native security workflows, automating complex business processes, and integrating LLM-powered agents into enterprise systems.

Key Responsibilities

• Develop and deploy production-ready Agentic AI workflows and intelligent automation solutions.
• Build AI agents using Python, LangGraph, LangFuse, and LLM technologies.
• Implement agent orchestration, tool calling, state management, and context engineering.
• Integrate AI solutions with enterprise systems using REST APIs, GraphQL, and MCP.
• Optimize AI applications for performance, scalability, latency, and cost.
• Implement automated testing, monitoring, observability, and CI/CD pipelines.
• Collaborate with cross-functional teams to automate and improve existing security workflows.
• Troubleshoot production issues and ensure system reliability.

Requirements

Required Skills & Qualifications

• 12+ years of software engineering experience.
• Strong hands-on experience with Python, LangGraph, LangFuse, and LLMs.
• Proficiency in TypeScript/JavaScript.
• Mandatory experience building and deploying Agentic AI solutions in production environments, not just POCs.
• Experience with AI agent orchestration, tool calling, memory, retrieval, and prompt engineering.
• Knowledge of REST APIs, GraphQL, MCP, and enterprise integrations.
• Experience with automated testing, CI/CD, observability, and containerized deployments.
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

Preferred Skills

• Experience with AI-driven security automation, DevSecOps, or vulnerability management.
• Familiarity with Claude Code, GitHub Copilot, or Cursor.
• Experience with LLMOps, model monitoring, and deployment strategies.
• Understanding of secure AI development practices and OWASP guidelines.

Important

Hands-on production implementation experience in Agentic AI and LLM-based systems is mandatory.