Senior Principal Engineer Agentic AI

Senior Principal Engineer – Agentic AI

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.