Chamberlain Group · 2 weeks ago
Principal AI Software Engineer (Hybrid in Oak Brook, IL)
Chamberlain Group is a global leader in intelligent access solutions, known for its myQ technology and flagship brands like LiftMaster and Chamberlain. They are seeking a hands-on Principal AI Software Engineer to lead the design and development of next-generation AI systems that enable multi-dimensional virtual assistants, focusing on architecting LLM-based agents and ensuring scalable deployment across products.
ManufacturingSecuritySmart Home
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 Group’s 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
Qualification
Required
Bachelor's or Master's 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
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, Node.js, 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
Master's 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
Benefits
Comprehensive benefits package
401k contribution
Short-term incentive plan
Company
Chamberlain Group
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company.
H1B Sponsorship
Chamberlain Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (28)
2023 (29)
2022 (27)
2021 (19)
2020 (18)
Funding
Current Stage
Late StageTotal Funding
unknown2021-09-07Acquired
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