Principal AI Engineer

Role Overview

We are looking for a Principal AI Engineer to lead the design and development of enterprise-grade Agentic AI systems. You will work at the intersection of deep tech and real-world impact, driving innovations in NLP, LLM orchestration, and scalable automation frameworks that transform how enterprises operate. Your work will be pivotal in bringing autonomous, intelligent systems to life.

Responsibilities

• Architect and implement scalable, secure Agentic AI solutions for enterprise-grade automation.
• Lead the design and deployment of NLP, LLM, and RAG-powered intelligent systems.
• Define and build MCP frameworks and A2A orchestration logic.
• Collaborate with cross-functional teams to translate complex enterprise workflows into modular, AI-driven processes.
• Drive engineering best practices in performance, security, and reliability across the AI stack.
• Prototype and productionize AI/ML models, ensuring scalability and maintainability.
• Work closely with product managers and researchers to align technical execution with customer and business needs.
• Mentor and guide engineering teams through design reviews, code reviews, and technical strategy sessions.
• Contribute to the evolution of our AI platform with forward-looking architecture and technology selection.
• Champion secure and ethical use of AI in enterprise applications.
• Explore new advancements in Agentic AI and share insights with the broader team to influence roadmap and innovation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 15+ years of software engineering experience, including significant time architecting enterprise-scale platforms.
• Deep expertise in .NET (C#) for large-scale, high-performance systems.
• Strong proficiency in Python, especially for AI/ML development and integration.
• Hands-on experience with NLP, LLM ecosystems, and Retrieval-Augmented Generation (RAG) techniques.
• Familiarity with building and deploying MCP and A2A orchestration frameworks.
• Experience with vector search, embeddings, and document retrieval pipelines.
• Proficient in cloud-native environments, preferably Azure, along with Docker and Kubernetes.
• Strong communication skills with a track record of cross-functional collaboration and leadership.
• Demonstrated ability to mentor engineering teams and lead technical direction.
• A passion for pushing the boundaries of AI, with an eye for translating research into real-world impact.
• Comfortable operating in a fast-paced, innovation-driven environment.

Rewards

• Top-tier Compensation: Salary and benefits among the best in the industry.
• Equity and Ownership: Grow with us and share in our success.
• Cutting-edge Innovation: Work on Agentic AI, one of the most exciting frontiers in enterprise automation.
• Learning Culture: Access to continuous learning, conferences, and dedicated upskilling budgets.
• Work Flexibility: Hybrid model with opportunities to work remotely.
• Health & Well-being: Comprehensive insurance and wellness programs.