AI Engineering Lead

AiQMEN; Dadri; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

AiQMEN in Dadri, Uttar Pradesh is seeking a skilled AI Engineer to establish end-to-end AI infrastructure and develop GenAI and Agentic AI applications. The successful candidate will work on integrating LLM APIs into production systems and fine-tuning LLMs using advanced techniques.

The role involves designing RAG pipelines, evaluating agentic workflows, and collaborating with multi-functional teams to deliver cutting-edge AI solutions.

Responsibilities

• Set up end-to-end AI infrastructure and tech stack.
• Build GenAI and Agentic AI applications using production tools.
• Integrate LLM APIs into real-world production systems.
• Fine-tune open-source LLMs for domain-specific tasks.
• Design Multimodal Retrieval-Augmented Generation pipelines.
• Build agentic workflows with frameworks.
• Work with LLMOps tools for model performance tracking.
• Collaborate with cross-functional teams on AI features.

Skills

AI infrastructure setup

GenAI applications

LLM integration

Fine-tuning LLMs

RAG pipelines

Agentic workflows

LLMOps tools

Team collaboration

Tools

LangChain

LlamaIndex

OpenAI API

Claude API

Mistral API

LangGraph

Magentic One

Job description

What are we looking for :

• Set up end-to-end AI infrastructure and tech stack for scalable deployment?
• Built GenAI and Agentic AI applications using tools like LangChain, LlamaIndex in production environments?
• Integrated LLM APIs (OpenAI, Claude, Mistral, etc.) into production systems for real-world use cases?
• Fine-tuned open-source LLMs using techniques like LoRA, PEFT, or QLoRA for domain‑specific tasks?
• Designed and implemented Multimodal Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured data?
• Built and evaluated agentic workflows using frameworks like LangGraph or Magentic One
• Worked with LLMOps tools for evaluation, observability, CI/CD, and model performance tracking?
• Collaborated with multi-functional teams (Product, Data, Engineering, Design) to ship AI-powered features?