Senior Principal Engineer – Agentic AI

Fyerx; Bengaluru Urban; On-site; INR 5,000,000 - 7,000,000; Full time

Job summary

Fyerx in Bengaluru, India, is seeking an experienced Senior Principal Engineer to design, develop, and deploy production-grade Agentic AI solutions. The role focuses on building AI-native security workflows, automating complex business processes, and integrating LLM-powered agents into enterprise systems.

You will build AI agents with Python, LangGraph, LangFuse, and LLM technologies, implement orchestration and memory management, and ensure scalable, secure deployments with REST APIs, GraphQL,

Qualifications

• 12+ years of software engineering experience.
• Strong hands-on experience with Python, LangGraph, LangFuse, and LLMs.
• Must have production experience deploying 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 Computer Science or related field.

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, memory, retrieval, and prompt 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.

Skills

Python

LLMs

Agentic AI

Production deployments

CI/CD

Observability

Troubleshooting

Security workflows

Education

Bachelor's or Master's in Computer Science

Tools

LangGraph

LangFuse

REST APIs

GraphQL

MCP

Containerization

Job description

Bangalore North, India | Posted on 10/22/2026

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 .

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.