Senior Technical Lead

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Python, JavaScript, TypeScript, Large Language Models, OpenAI, Azure OpenAI, Anthropic, prompt engineering, Retrieval-Augmented Generation, APIs, microservices, SQL, NoSQL, vector stores, LangGraph, CrewAI, AutoGen, vector-based memory systems, embeddings, Transformer-based models, semantic search, bias mitigation, fine-tuning, inference optimization, Azure, AWS, GCP, CI/CD, Docker, MLOps, LangChain, 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