Generative AI Engineer

Job Title: Generative AI

Experience: 5+ Years

Contract Duration: 6 Months+

Job Purpose

We are looking for a highly experienced Generative AI Engineer to join our AI/ML team. The ideal candidate will have a strong background in designing and deploying advanced Retrieval-Augmented Generation (RAG) and Graph-RAG systems in production. This is a critical role focused on building scalable and intelligent AI solutions using state-of-the-art LLMs, agent frameworks, and MLOps tools.

Key Responsibilities:

• Design, develop, and deploy RAG and Graph-RAG systems at scale.
• Integrate and optimize vector and graph databases for efficient information retrieval.
• Work with Large Language Models (LLMs), embedding models, and retrieval pipelines.
• Leverage MLOps tools to automate and manage AI/ML workflows.
• Experiment with and implement Agentic AI systems using frameworks like LangChain Agents, AutoGPT, or CrewAI.
• Collaborate with cross-functional teams to deliver robust, production-ready solutions.
• Clearly articulate technical decisions, system architecture, and project outcomes to both technical and non-technical stakeholders.

Required Skills & Experience:

• Proven 5+ yrs experience delivering RAG and Graph-RAG solutions in production.
• Strong proficiency in Python, vector DBs, and graph DB query languages (Cypher, Gremlin, SPARQL).
• Hands-on experience with LLMs, embedding models, and retrieval frameworks.
• Familiarity with MLOps tools (MLflow, Airflow, Docker, Kubernetes).
• Deep understanding of AI/ML/Data Science principles and practices.
• Conceptual knowledge of Agentic AI and autonomous agents (LangChain Agents, AutoGPT, CrewAI).
• Ability to clearly articulate past project experience, technical decisions, and outcomes.