Join our Consulting team as an Agentic AI Developer and be at the forefront of designing, building, and deploying innovative AI-powered applications. You'll leverage Large Language Models (LLMs), Generative AI, and machine learning to create intelligent solutions. This role involves integrating enterprise data, refining model performance, and collaborating with diverse teams to deliver robust, scalable, and secure applications ready for production.

This position is ideal for experienced professionals passionate about shaping the future of AI within a dynamic consulting environment.

Your primary focus will be on developing and implementing AI-driven applications utilizing LLMs and Generative AI technologies. You'll architect RAG-based frameworks and multi-agent systems, seamlessly integrating enterprise data sources and external platforms.

Key tasks include optimizing model performance, enhancing application efficiency and scalability, and ensuring adherence to best practices for code quality, secure deployment, and peak application performance. Collaboration with cross-functional teams is essential to bring production-ready AI solutions to life.

A strong foundation in AI development or software engineering, with 6-8 years of relevant experience, is essential. Proficiency in Python and hands-on experience with Generative AI/LLM application development are critical.

We are looking for expertise in AI frameworks such as LangChain, LangGraph, or CrewAI, along with practical experience in RAG, vector databases, MCP, A2A, and multi-agent solutions. Familiarity with cloud platforms like AWS, Azure, or GCP, and an understanding of prompt engineering, model optimization, and enterprise data integration are also required. Exposure to MLOps, Git, Docker, and CI/CD practices, coupled with excellent analytical, problem-solving, and communication skills, will set you up for success.