Senior Technical Lead

Experience: Not Available to Not Available years

Location: Sholinganallur, India

Skills: AI Engineer, LLMs, multi-agent orchestration, LangGraph, stateful agents, reasoning, agent orchestration patterns, memory systems, production-grade LLM applications, APIs, enterprise systems, prompting, routing, guardrails, AWS, Docker, Kubernetes, observability, LangSmith, performance optimization, feedback loops, debugging, Python, backend development, agent design patterns, API integration, cloud engineering, Azure, GCP, AI gateways, real-time systems

Job Summary
We are seeking an AI Engineer to design and deploy agentic AI systems powered by LLMs, with a solid focus on multi-agent orchestration, reasoning workflows, and production-grade AI platforms. This role emphasizes building autonomous, tool-using AI systems rather than traditional model development.

Key Responsibilities
Agentic AI & Multi-Agent Systems
• Design and implement multi-agent architectures using LangGraph
• Build stateful, tool-augmented agents capable of reasoning, planning, and execution
• Develop agent orchestration patterns (planner-executor, supervisor, hierarchical agents)
• Implement memory systems (short-term, long-term, contextual memory)
• Enable cross-agent communication and coordination
LLM Applications & Orchestration
• Build production-grade LLM applications (RAG, agents, copilots)
• Integrate tools, APIs, and enterprise systems into agent workflows
• Design robust prompting, routing, and guardrails
• Optimize workflows for latency, cost, and quality
Platform & API Development
• Develop reusable AI services, agent frameworks, and APIs
• Contribute to AI platform capabilities (model routing, observability, guardrails)




Cloud Deployment & Production Systems
• Deploy agent-based systems on AWS
• Use Docker and Kubernetes for scalable deployments
Information Classification: General
• Implement monitoring and observability (LangSmith)
• Ensure systems are resilient and production-ready
Performance Optimization & Evaluation
• Evaluate agent performance across reasoning quality and task completion
• Improve workflows using feedback loops and tracing
• Diagnose and fix failure modes in multi-step pipelines
Collaboration & Enablement
• Work with product and engineering teams to build agentic workflows
• Guide teams on best practices for agent design
• Contribute to reusable patterns and frameworks
Qualifications & Skills
Core Expertise
• Experience building LLM-based systems (RAG, agents, copilots)
• Hands-on with LangGraph / LangChain
• Experience with multi-agent systems
• Strong Python and backend development skills
Agentic & Systems Thinking
• Understanding of agent design patterns, planning, memory, and tool use
• Experience integrating APIs and enterprise systems
• Ability to debug multi-step reasoning pipelines
Cloud & Production Engineering
• Experience with AWS, Azure, or GCP
• Familiarity with Docker and Kubernetes
• Understanding of observability and performance optimization
Nice to Have
• Experience with AI gateways and model routing
• Exposure to cost optimization and guardrails
• Familiarity with real-time or event-driven systems
Other Requirements
• What We’re Looking For
• Engineers focused on systems and workflows, not just models
Information Classification: General
• Strong bias toward production-ready AI applications
• Passion for agentic AI and next-gen architectures

📌 Senior Technical Lead (Chennai)
🏢 HCL Technologies
📍 Chennai