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.