Senior Manager Engineering

Key Responsibilities

• Lead a cross-functional generative AI-focused software development team 
• Integrate LLM APIs into existing platforms to enhance user interactions, decision-making, and automation capabilities.
• Enhance applications with agentic AI capabilities to enable autonomous decision-making and improve business workflows.
• Work collaboratively within cross-functional organization, including product managers, data scientists, and engineers, to develop AI-driven features and optimize system performance.
• Utilize Generative AI to accelerate development processes, such as using tools like GitHub Copilot for coding assistance.
• Deploy and manage applications on cloud platforms, ensuring they are scalable, secure, and reliable.
• Stay up to date with the latest advancements in LLMs, generative AI, and cloud technologies, and integrate new tools to enhance application performance.

Skills, Knowledge and Expertise

• Technical Skills: Proficiency in Python (e.g., LangChain), .NET (C#), and TypeScript (e.g., React); experience with web frameworks (e.g., Node.js), cloud platforms (e.g., Azure, AWS), Azure AI Foundry, or AWS Bedrock.
• AI Integration: Experience with integrating LLMs and agentic AI systems into web applications, with a focus on automation and Human-In-The-Loop decision-making systems.
• Deployment & Scaling: Experience deploying scalable AI-driven web applications in cloud environments
• Data Handling: Familiarity with integrating structured and unstructured data for knowledge bases / Retrieval Augmented Generation (RAG) solutions
• Software development / engineering team lead experience
• Proven experience developing and deploying scalable web applications.
• Hands-on experience integrating generative AI APIs and AI-driven solutions into applications.
• Solid background in full-stack development.
• Cloud infrastructure management (stretch).
• Team leadership
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and ability to troubleshoot AI integration challenges.
• Collaborative mindset and ability to thrive in a fast-paced, cross-functional environment.
• Eagerness to stay current with advancements in AI, particularly in generative models, agentic AI, and knowledge graph technologies.