Senior Principal Engineer Agentic AI

FyerX Global Private Limited

Gurgaon

On-site

INR 3,283,000 - 4,013,000

Part time

2 days ago
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Job summary

FyerX Global Private Limited in Bangalore (onsite) is seeking a Senior Principal Engineer to design, develop, and deploy production-grade Agentic AI solutions. The role focuses on building AI-native security workflows and automating complex business processes.

You will lead the implementation of AI agents using Python, LangGraph, LangFuse, and LLM technologies, and drive integration with enterprise systems through REST, GraphQL, and MCP.

Qualifications

  • 12+ years of software engineering experience.
  • Hands-on experience with Python, LangGraph, LangFuse, and LLMs.
  • Proficiency in TypeScript/JavaScript.
  • Experience building production-grade Agentic AI solutions, 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 CS or related field, or equivalent practical experience.

Responsibilities

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

Skills

Python
LangGraph
LangFuse
LLMs
TypeScript
JavaScript
Production AI
AI agent orchestration
REST APIs
GraphQL
CI/CD
Containerized deployments
Prompt engineering

Education

BS/MS in CS or related field

Job description

Job Description:

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.
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.
  • Bachelors or Masters 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.

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