Senior Technical Lead

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Python, JavaScript, TypeScript, Large Language Models (LLMs), Task decomposition, Reflection, Self-correction, Long-term memory, Short-term memory, Collaboration, Delegation, OpenAI, Azure OpenAI, Anthropic, Prompt engineering, Structured outputs, Function calling, Retrieval-Augmented Generation (RAG), Vector-based memory systems, Embeddings, SQL, NoSQL, Vector stores, LangGraph, CrewAI, AutoGen, Cloud platforms, Azure, AWS, GCP, APIs, Microservices, Serverless architectures, CI/CD, Docker, MLOps, LangChain, Semantic Kernel, Reinforcement learning, Planning algorithms

Job Summary
Role Overview
We are seeking an Agentic AI Engineer to design, build, and deploy autonomous, goal-driven AI systems (“AI agents”) that can reason, plan, take actions, and collaborate with other systems and agents. The role focuses on LLM-powered multi-agent architectures, tool use, memory, orchestration, and real-world integration to solve complex business problems at scale.

Key Responsibilities
Key Responsibilities
Agentic System Design & Development
Design and implement autonomous AI agents using Large Language Models (LLMs)
Build single-agent and multi-agent systems with planning, reasoning, memory, and tool execution
Implement agent behaviors such as:
• Task decomposition and planning
• Reflection and self-correction
• Long-term and short-term memory
• Collaboration and delegation across agents
LLM & AI Engineering
Integrate and optimize LLMs (e.g., OpenAI, Azure OpenAI, Anthropic, open-source models)
Apply prompt engineering, structured outputs, function calling, and RAG techniques
Fine-tune or adapt foundation models where required
Evaluate and improve model performance, reliability, and hallucination control
Tooling & Orchestration
Enable agents to safely use tools such as:
• APIs and microservices
• Databases (SQL/NoSQL/vector stores)




• Web search and enterprise systems
Implement agent frameworks and orchestration layers (e.g., LangGraph, CrewAI, AutoGen, custom frameworks)
Data, Memory & Knowledge Systems
Design vector-based memory systems using embeddings
Implement Retrieval-Augmented Generation (RAG) pipelines
Manage knowledge ingestion, indexing, and lifecycle
Production & Engineering Excellence
Build scalable, reliable, and secure AI services
Collaborate with product, platform, and data engineering teams
Implement monitoring, logging, evaluation, and safety guardrails
Ensure compliance with data privacy and responsible AI standards
Skill Requirements
Required Skills & Qualifications
Core Technical Skills
Solid programming skills in Python (mandatory); JavaScript/TypeScript is a plus
Hands-on experience building applications with LLMs
Deep understanding of:
• Agentic workflows and autonomous systems
• Prompting strategies and output control
• RAG architectures and vector databases
AI & ML Knowledge
Working knowledge of:
• Transformer-based models
• Embeddings and semantic search
• Model evaluation and bias mitigation
Familiarity with fine-tuning and inference optimization
Systems & Cloud
Experience with cloud platforms (Azure preferred, AWS/GCP acceptable)
• APIs, microservices, and serverless architectures
• CI/CD, containerization (Docker), and basic MLOps practices
Other Requirements
Preferred / Nice-to-Have Skills
• Experience with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel)
• Knowledge of reinforcement learning or planning algorithms
• Experience in enterprise AI adoption or AI governance
• Front-end integration for AI-driven UX (optional)
Soft Skills
• Strong problem-solving and system design skills
• Ability to translate business problems into autonomous AI workflows
• Clear communicator with a collaborative mindset
• Comfort working in fast-evolving, ambiguous problem spaces

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