Join our dynamic Consulting team as an Agentic AI Developer. This role is pivotal in designing, developing, and deploying cutting-edge AI applications. You'll leverage Large Language Models (LLMs), Generative AI, and machine learning to build intelligent solutions that drive functional excellence and foster innovation. Your work will involve integrating enterprise data, enhancing model performance, and collaborating to deliver secure, scalable, and production-ready applications.

This is an exciting opportunity to be at the forefront of AI development, shaping the future of our client's technological landscape and contributing to long-term growth.

Key responsibilities include developing and implementing AI-powered applications utilizing LLMs and Generative AI. You will be instrumental in building RAG-based solutions and multi-agent applications. Integrating enterprise data sources and external systems into AI applications is crucial. Additionally, you will focus on optimizing model performance, application efficiency, and scalability.

Collaboration with cross-functional teams to deliver production-ready AI solutions is essential. Adherence to best practices for code quality, deployment, security, and application performance will be a core part of your role.

We are seeking an AI Developer with 6–8 years of experience in AI development or software engineering. Proficiency in Python and Generative AI/LLM-based application development is essential. You should have hands-on experience with AI frameworks like LangChain, LangGraph, or CrewAI.

Experience with RAG, vector databases, MCP, A2A, and multi-agent solutions is required. Familiarity with cloud platforms (AWS, Azure, GCP) and understanding of prompt engineering, model optimization, and enterprise data integration are necessary. Exposure to MLOps, Git, Docker, and CI/CD practices is also expected, alongside strong analytical, problem-solving, and communication skills.