Join our dynamic Consulting team as an Agentic AI Developer, where you'll spearhead the design, development, and deployment of cutting-edge AI applications. This role focuses on leveraging Large Language Models (LLMs), Generative AI, and advanced machine learning techniques to create intelligent solutions.

You will be instrumental in building sophisticated AI systems, seamlessly integrating diverse enterprise data, and refining model performance to ensure optimal application efficiency and scalability. Collaboration with cross-functional teams is key to delivering robust, secure, and production-ready applications that drive innovation.

Design and implement advanced AI applications powered by LLMs and Generative AI technologies.

Develop robust RAG-based solutions and intricate multi-agent applications.

Integrate critical enterprise data sources and external systems into AI applications.

Optimize model performance, application efficiency, and overall system scalability.

Collaborate effectively with cross-functional teams to deliver production-ready AI solutions.

Adhere to best practices for code quality, secure deployment, and application performance.

We are seeking candidates with 4–6 years of experience in AI development, software engineering, or a related technical field.

Proficiency in Python and hands-on experience with Generative AI/LLM-based application development are essential. Experience with AI frameworks like LangChain, LangGraph, or CrewAI is required.

Familiarity with RAG, vector databases, MCP, A2A, and multi-agent solutions is crucial. Knowledge of cloud platforms such as AWS, Azure, or GCP is expected.

Understanding of prompt engineering, model optimization, and enterprise data integration is necessary. Exposure to MLOps, Git, Docker, and CI/CD practices is beneficial. Strong analytical, problem-solving, and communication skills are vital.