Generative AI - Lead

Iris Software
Posted on
Iris Software logo

Experience
8 - 10 yrs
Job Location
Noida, India
Vacancy
1
Designation
Lead Machine Learning Engineer
Job Type
Not specified

Job Description

Role : Generative AI Lead

Experience: 8 - 10 Years
Location: Noida
Work Mode: Hybrid


About the Role

We are seeking a highly skilled Gen AI Lead to drive the design, development, and deployment of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in AI/LLM ecosystems, Agentic AI frameworks, RAG architectures, Python-based development, and cloud-native deployments. This role requires both hands-on technical leadership and the ability to guide teams in building scalable AI-powered applications.




Required Skills

  • Strong programming expertise in Python, including NumPy and Pandas.
  • Deep understanding of Advanced GenAI Concepts and Agentic AI Frameworks.
  • Hands-on experience with LangChain, LangGraph, or similar workflow and agent orchestration frameworks.
  • Expertise in Retrieval Augmented Generation (RAG), Graph RAG, and Agentic AI Systems.
  • Strong experience in Prompt Engineering and LLM optimization techniques.
  • Proficiency in React.js for developing AI-driven user interfaces and enterprise applications.
  • Experience with Vector Databases and AI Search Index implementations.
  • Knowledge of AI Agents, Tool Calling, Fine-Tuning, and Model Customization. Experience in Cloud Application Integration & Deployment (AWS/Azure/GCP).
  • Strong understanding of API development and enterprise system integrations.
  • Experience in deploying scalable AI solutions in production environments.

Preferred Skills

  • Experience working with Large Language Models such as GPT, Claude, Gemini, Llama, or Mistral.
  • Knowledge of React and modern front-end frameworks.
  • Experience with PostgreSQL or other relational databases.
  • Familiarity with Docker, Kubernetes, and MLOps practices.
  • Understanding of AI governance, Responsible AI, and enterprise AI security.
  • Experience in Capital Markets, Banking, Financial Services, or other enterprise domains.

Educational Qualification

  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.

No Referrers Available

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