Staff Software Engineer - GenAI

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, 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.
• 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.
• Drive decision-making around tooling, infrastructure, observability, and production-readiness.
• 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.

Job 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.
• 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.
• Familiarity with retrieval-augmented generation (RAG), memory systems, and API-driven tool use.
• Working knowledge of 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 Job Requirements

• 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.