Software Engineering Manager, Applied AI Industry Verticals

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 3 years of experience in a technical leadership role.

• 2 years of experience with generative AI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with generative AI-related concepts (language modeling, computer vision).

• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• Experience building AI-native front-ends or Agent-to-User interfaces (A2UI), as well as integrating systems using API-centric frameworks and open protocols like Model Context Protocol (MCP).

• Experience building software solutions tailored to specific industry verticals.

• Experience building applications utilizing Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG) pipelines, or autonomous agent architectures.

• Strong track record of designing, scaling, and maintaining highly reliable, highly available production systems with rigorous evaluation and testing frameworks.