Sr. Engineer, Software - GenAI; Hybrid

About the Company

Chamberlain Group (CG) is a global leader in intelligent access and a Blackstone portfolio company, powered by our myQ technology. We provide secure access solutions for millions of homeowners, businesses, and communities worldwide.

• Contribute to the planning and scoping of agentic AI systems by evaluating models, frameworks, and integration options, and assisting engineering teams with technical analysis and workflow recommendations.
• Assist in building agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks.
• Conduct analysis and experimentation on agent reasoning, planning, and memory behaviors, providing insights that guide improvements to contextual interactions and task execution.
• Build, test, and optimize pipelines using tools such as Lang Chain, Lang Graph, and CAMEL.
• Collaborate with product, engineering, and research teams to gather requirements, validate assumptions, and support planning for scalable and performant assistant deployments.
• Prepare assessments and recommendations on tooling, infrastructure, observability, and readiness considerations to support lead-level decision making.
• Provide guidance to teams by sharing insights on AI‑native engineering patterns and emerging LLM ecosystem trends, supporting knowledge transfer across groups.
• Support end‑to‑end delivery by coordinating across frontend, backend, and ML teams, monitoring progress, and highlighting risks or quality concerns for resolution.
• Contribute technical analysis and inputs to roadmap discussions and sprint planning, ensuring requirements and constraints are surfaced clearly.
• Support the development and refinement of engineering workflows, coding standards, and agile practices by providing data, observations, and improvement recommendations.
• Assist in monitoring delivery metrics and GenAI tool usage.
• 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.

• 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 1+ years working with LLMs or agentic AI systems.
• Strong working knowledge of agentic system concepts, modern AI components, and LLM‑based workflows.
• Proficiency in Python and experience supporting production‑grade development.
• Hands‑on experience with LLM orchestration tools (e.g., Lang Chain, Lang Graph, Llama Index, CAMEL) for analysis and workflow testing.
• Understanding of agent reasoning, coordination patterns, memory systems, and RAG pipelines.
• Experience with vector databases (FAISS, Pinecone, Weaviate) and embedding‑based retrieval analysis.
• Solid grasp of software architecture basics, distributed system concepts, and integration considerations.
• Ability to support prototyping efforts and identify early scalability or deployment considerations.
• Experience with chatbot frameworks (e.g., Lang Chain, Rasa) and backend integration workflows.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps/model deployment practices.
• Strong communication and cross‑team collaboration skills in fast‑paced environments.
• Ability to travel up to 10% of the time domestically and internationally.

• Master’s degree in Computer Science, Computer Engineering, or related field.
• Experience in IoT, software services,…