Walk-in || HCLTech | AI Engineer/AI Lead | Weekend Drive (22nd Aug'26) | Noida

We are seeking an experienced Generative AI Engineer/Lead to design, architect, and deliver scalable AI-powered solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-native AI services. The ideal candidate will have deep expertise in AI/ML architecture, strong Python development skills, cloud technologies, and hands-on experience deploying enterprise-grade GenAI applications.

The role involves collaborating with business stakeholders, data scientists, engineering teams, and technology leadership to build innovative AI solutions that drive business transformation.

Role & responsibilities

• Design and build LLM-powered applications using proprietary and open-source models.
• Implement prompt engineering, Retrieval-Augmented Generation (RAG), tool/function calling, and agent workflows.
• Deploy LLM solutions into cloud and enterprise environments with scalability and reliability.
• Build inference APIs, microservices, and CI/CD pipelines for AI applications.
• Monitor model quality, latency, cost, drift, and hallucinations in production.
• Fine-tune and enhance models using parameter-efficient techniques where required.
• Optimize inference performance using caching, batching, quantization, and prompt optimization.
• Ensure security, privacy, and responsible AI guardrails in all deployments.
• Collaborate with product, platform, and engineering teams to deliver enterprise AI solutions.

Required Skills:

Programming:

• Python (Expert Level)
• REST APIs
• FastAPI / Flask

Generative AI

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Cloud (AWS/Azure)
• Vector Databases
• AI Agents / Agentic AI
• Fine-Tuning & Model Evaluation
• Model Serving & Inference Optimization

AI Frameworks:

• LangChain
• LangGraph
• LlamaIndex
• Semantic Kernel
• CrewAI / AutoGen
• Hugging Face Transformers

Preferred candidate profile

• 5 to 15 years of overall software or AI/ML engineering experience.
• 4+ years of hands-on experience delivering LLM or Generative AI solutions in production.
• Bachelor's or master's degree in relevant stream.
• Hands-on experience delivering enterprise GenAI projects.
• Experience with Responsible AI and AI Security frameworks.
• Cloud certifications (Azure, AWS, GCP) Advantage.
• Excellent communication, leadership, and mentoring capabilities.