Software Engineering Manager (Agentic AI Applications)

About the role

Lead a team of engineers building agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features.
Stay hands-on: contribute to architecture, write and review code, and build critical components alongside the team.
Own the technical strategy for the platform, balancing speed, scalability, maintainability, and business impact.
Define how the team works: engineering practices, AI-native development workflows, code review culture, and delivery cadence.
Partner with product, design, data, and business stakeholders to set priorities and translate ambiguous business needs into a clear roadmap.

Responsibilities

• Lead a team of engineers building agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features.
• Stay hands-on: contribute to architecture, write and review code, and build critical components alongside the team.
• Own the technical strategy for the platform, balancing speed, scalability, maintainability, and business impact.
• Define how the team works: engineering practices, AI-native development workflows, code review culture, and delivery cadence.
• Partner with product, design, data, and business stakeholders to set priorities and translate ambiguous business needs into a clear roadmap.

Requirements

• 8+ years of professional software development experience, including 2+ years leading engineers as a manager or tech lead.
• Strong hands-on experience building production software in languages such as C#, Java, Python, JavaScript, or TypeScript.
• Experience designing and operating full-stack systems across frontend, backend, APIs, and data integrations on cloud platforms such as AWS, Azure, or Google Cloud.
• Track record of hiring, coaching, and growing engineers.
• Experience owning technical strategy or architecture for a product or platform.
• Demonstrated ability to work with product and business stakeholders to set priorities and deliver outcomes.

Qualifications

• Hands-on experience building with agentic AI frameworks (e.g., LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar), LLM APIs, or Model Context Protocol (MCP) tool integrations.
• Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior.
• Experience leading a team through AI-native ways of working, such as AI coding agents, AI-assisted reviews, or multi-agent workflows.
• Experience building or leading a team in a greenfield or newly formed product environment.
• Experience with AWS, Kubernetes, CI/CD, automated testing, and production operations.

Skills

• Strong communication and leadership skills.
• Ability to work effectively with cross-functional teams.
• Experience with agile methodologies and DevOps practices.
• Knowledge of ethical considerations in AI development and deployment.

Benefits

• Medical, dental, and vision benefits.
• 401K retirement plan.
• Paid-time off.

Pay

$123,500.00 - $276,000.00 annually.

Schedule

Full-time.