GEN AI (AI/ML Engineer)

Job Title: AI/ML Engineer (Generative AI Specialist)

Location: (Pan India)

Experience: Relevant 59 Years

Job Description:

We are seeking a skilled and passionate AI/ML Engineer with expertise in Generative AI (Gen AI) to join our dynamic team. The ideal candidate will have hands-on experience working with large language models (LLMs), frameworks like LangChain and LangGraph, and advanced knowledge of RAG (Retrieval-Augmented Generation) and AI agents. The role demands strong programming skills, problem-solving abilities, and the ability to contribute to cutting-edge AI projects.

Key Responsibilities:

• Design, develop, and implement solutions using Generative AI technologies and frameworks such as LangChain and LangGraph,CrewAI
• Work on projects involving large language models (LLMs), including both Open Source LLMs and Enterprise LLMs like OpenAI.
• Develop, fine-tune, and deploy LLMs for NLP tasks such as text summarization, translation, question answering, etc.
• Build and integrate RAG pipelines and AI agents for production-ready solutions.
• Collaborate with cross-functional teams to deliver scalable AI-driven applications.
• Manage and version code effectively using Git.
• Leverage NoSQL databases for unstructured data handling.
• Stay updated with advancements in AI/ML technologies and propose innovative solutions.

Required Skills:

• Minimum 6 months of hands-on experience with Generative AI, LangChain, and LangGraph.
• Minimum 2 years of experience in Python programming for AI/ML applications.
• Working with large language models and NLP pipelines.
• NoSQL databases (e.g., MongoDB, Cassandra).
• Practical knowledge of Retrieval-Augmented Generation (RAG) and AI agents.
• Experience with both open-source and enterprise-grade LLMs.
• Proficiency in software development, debugging, and testing.
• Strong communication skills to convey complex ideas effectively.

Optional/Preferred Skills:

• Knowledge of Machine Learning and Deep Learning frameworks like TensorFlow, PyTorch.
• Experience with Cloud Platforms (Azure, AWS, or SAP).
• Exposure to DevOps practices and CI/CD pipelines.
• Familiarity with cloud-based AI/ML solutions and MLOps workflows