Lead AI Solutions Engineer

About the Role

We're looking for a highly skilled and experienced Principal GenAI / AI Engineer and Architect to join our innovative team. The ideal candidate has over a decade of hands-on experience in the AI / GenAI space, with a strong focus on Generative AI and Agentic AI. This role requires a unique blend of deep technical expertise, architectural vision, and a proven ability to bridge the gap between AI research and practical, enterprise-grade applications.

You'll be responsible for architecting, developing, and deploying cutting-edge GenAI solutions, with a particular emphasis on integrating Python-based GenAI models and tools with our core .NET technology stack. A significant part of your role will involve leveraging GitHub Copilot and other AI-assisted development tools to enhance productivity and streamline workflows.The role requires complete hands on expertise and always be ready to code and lead with example

Key Responsibilities

• Architect and Design : Lead the design and implementation of scalable, reliable, and secure GenAI and Agentic AI systems. This includes architecting GenAI pipelines for data ingestion, model training, and production deployment.
• Agentic AI Development : Design and build autonomous AI agents that can perform complex, multi-step tasks. You'll leverage and develop with advanced agentic frameworks like LangChain and LangGraph to build stateful, multi-actor applications with complex, dynamic control flows and cyclical patterns.
• SLM and LLM Integration : Possess deep, practical knowledge of integrating Large Language Models (LLMs) and Small Language Models (SLMs). You'll be responsible for orchestrating these models, using SLMs for specialized, low-latency tasks and routing more complex queries to LLMs, thereby optimizing for cost, performance, and efficiency.
• GenAI Engineering : Develop, train, and fine-tune large language models (LLMs) and other generative models. Possess a strong understanding of concepts like Retrieval-Augmented Generation (RAG) and vector databases.
• Full-Stack Development : Drive hands-on development of .NET-based applications and projects, applying strong software engineering principles to build robust, maintainable, and efficient systems.
• AI Tool Analysis : Continuously research and analyze the latest AI and GenAI tools, platforms, and models available in the market. Provide expert recommendations on which technologies to adopt to solve specific business problems.
• Leadership and Mentorship : Provide technical leadership and mentorship to junior engineers, helping them grow their skills in GenAI and the use of AI-assisted development tools.
• Collaboration : Work closely with cross-functional teams, including data scientists, product managers, and business stakeholders, to translate business needs into technical GenAI solutions.

Required Skills and Qualifications

Preferred Qualifications :