Oversee the design, development, and deployment of AI features within Chamberlain products such as: Video-based search using LLMs, Chatbot interfaces for search and AI-generated insight, backend pipelines and APIs for AI feature delivery.
Architect and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks.
Design role-based architectures where agents collaborate through coordination protocols and memory management.
Build, test, and optimize pipelines using tools such as LangChain, LangGraph, and CAMEL.
Develop systems for agent reasoning, planning, and long-term memory retrieval to enable contextual conversations and task execution.
Work across product, engineering, and AI research teams to ensure scalable and performant deployment of assistants.
Drive decision-making around tooling, infrastructure, observability, and production-readiness.
Mentor engineers across the org in AI-native engineering patterns, architecture, and LLM ecosystem evolution.
Ensure end-to-end delivery across frontend, backend, and ML components, and drive code quality, scalability, and maintainability best practices.
Act as the technical voice in roadmap discussions and sprint planning.
Define engineering workflows, coding standards, and agile practices.
Track and improve delivery velocity, quality metrics, and GenAI tool adoption.

Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
10+ years of experience in software engineering, with at least 2+ years working with LLMs or agentic AI systems.
Proven experience building LLM-powered agents that interact with external tools and APIs.
Demonstrated work with agent orchestration frameworks (e.g., LangGraph, CAMEL, AutoGen).
Experience leading cross-functional initiatives in AI productization, intelligent automation, or AI-native user interfaces.
Experience in AI infrastructure, prompt engineering, or fine-tuning LLMs is a strong plus.
Prior experience working in autonomous systems, virtual assistants, or cognitive agents is highly desirable.
Video intelligence systems, Computer Vision is a strong plus.
Strong programming skills in Python and experience with production software development.
Proficiency in LLM-based development and orchestration tools: LangChain, LangGraph, CAMEL, LlamaIndex, AutoGen, or similar.
Excellent communication and people leadership skills.
Ability to travel up to 10% of the time domestically and internationally.

Benefits

comprehensive benefits package
401k contribution
short-term incentive plan (subject to eligibility requirements)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringLLMsagentic AI systemsagent orchestration frameworksprompt engineeringfine-tuning LLMsprogramming in Pythonvideo intelligence systemscomputer visionAI infrastructure

Soft Skills

communication skillspeople leadershipmentoringdecision-makingcollaborationorganizational skillsagile practicescode qualityscalabilitymaintainability

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in Electrical EngineeringMaster’s degree in Electrical Engineering