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, robust 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.

📌 Walk-in || HCLTech | AI Engineer/AI Lead | Weekend Drive (8th Aug'26) | Chennai
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