LiftMaster and Chamberlain are found in 50 million homes and 13 million people rely on the myQ app daily.
Chamberlain Group is a global leader in access solutions with top brands such as LiftMaster and Chamberlainfound in millions of homes businesses and communities worldwide. We are seeking a hands-on experienced Principal Software Engineer to lead the design and development of next-generation Agentic AI systems that power multi-dimensional virtual assistants across our product ecosystem. This role is a cornerstone in our shift toward AI-native experiences moving beyond traditional ML and into systems that reason act and collaborate autonomously using foundation models.
Youll be responsible for architecting and building LLM-based agents that integrate with real-world tools and APIs orchestrate tasks across roles and scale intelligently in production environments. If youre passionate about building software that thinks adapts and interacts this is the role for you.
Job Responsibilities:
- 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 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.
- Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
- Protect Chamberlain Groups reputation by keeping information confidential.
- Maintain professional and technical knowledge by attending educational workshops reading professional publications establishing personal networks and participating in professional societies.
- Contribute to the team effort by accomplishing related results and participating on projects as needed.
Job Requirements:
- Bachelors or Masters degree in Computer Science Electrical Engineering or a related field
- 8 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.
- Ability to travel up to 10% of the time domestically and internationally
Knowledge Skills and Abilities:
- Deep understanding of agentic system design and modern AI system architecture.
- 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.
- Expertise in agent reasoning multi-agent coordination and role-based task decomposition.
- Working knowledge of retrieval-augmented generation (RAG) memory systems and API-driven tool use.
- Familiarity with vector databases (e.g. FAISS Weaviate Pinecone) and embedding techniques.
- Strong grasp of software architecture distributed systems and system integration principles.
- Ability to balance rapid prototyping with scalable production deployment.
- Chatbot frameworks (e.g. LangChain Rasa custom pipelines)
- Proficiency with modern backend technologies (Python REST/gRPC APIs).
- Cloud-native development experience (GCP AWS or Azure).
- Experience working with MLOps and model deployment pipelines.
- Excellent communication and people leadership skills.
- Comfortable operating in a fast-paced startup-like environment within an established company
Preferred Job Descriptions:
- Masters degree in Computer Science Computer Engineering or related field
- Experience in IoT software services video and AI
- Experience with consumer electronics smart home companies will be beneficial
The pay range for this position is $123600.00 - $216150.00; base pay offered may vary depending on a number of factors including but not limited to the position offered location education training and/or addition to base pay also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. Were proud to be an Equal Opportunity Employer and youll be considered for this role regardless of race color religion sex national origin age sexual orientation ancestry; marital disabled or veteran status. Were committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact in confidence .
NOTE: Staffing agencies headhunters recruiters and/or placement agencies please do not contact our hiring managers directly.