Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 22, 2026.
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.

