If you are interested and find this position relevant to your profile, please fill out the Microsoft form. Based on profile shortlisting, you will be notified about the walk-in drive venue details & Timing.

Microsoft Form Link: HCLTech | AI Engineer/Lead Weekend Drive | Chennai | 8th Aug'26 – Fill out form

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 creative 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.

📌 Walkin Drive | GenAI Engineer/Lead | 8th Aug | Chennai
🏢 HCLTech
📍 Chennai