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Niche generative AI and LLM integration leadership reduces applicant density.
Requires specialized LLM, agentic AI and cloud integration expertise, limiting transferability across industries.
Multiple mandatory technical skills and leadership expectations raise screening rigor despite no explicit years.
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Lead a cross-functional team to integrate LLM APIs and agentic AI capabilities into web applications and software platforms.
Drive development of AI-driven features and autonomous systems to optimize business workflows and enhance application performance.
Collaborate with product managers, data scientists, and engineers to refine user requirements and accelerate software delivery using generative AI tools.
Proficiency in Python (including LangChain), .NET (C#), TypeScript (including React), and Node.js frameworks.
Experience integrating LLMs and agentic AI systems into web applications with automation and human-in-the-loop decision-making focus.
Experience deploying scalable AI-driven applications on cloud platforms such as Azure or AWS (Azure AI Foundry or AWS Bedrock).
Work Experience Required: Software development or engineering team leadership experience.
Experienced leader in fast-paced, cross-functional environments managing AI integration into scalable full-stack web applications.
Strong collaboration skills with product, data science, and engineering teams to deliver AI-enhanced features aligning with business needs.
Technical proficiency keeping current with advances in generative AI, agentic AI, and cloud technologies for continuous improvement.