Staff Engineer, Software - GenAI

Chamberlain Group • Oak Brook, IL

16h

About The Position

Chamberlain Group is hiring a Staff Engineer, Software, to help lead its shift toward AI-native experiences. The role architects and builds LLM-based agents that use real-world tools and APIs, coordinate tasks across roles, and scale in production. The work spans AI features for Chamberlain products, including video-based search, chatbot interfaces for search and AI-generated insights, and backend pipelines and APIs for AI feature delivery.

The engineer will develop agentic AI systems using LLMs, retrieval-augmented generation (RAG), MCP, tool integration, and orchestration frameworks. They will design role-based agent architectures, coordination protocols, and memory systems; build and optimize pipelines; and develop agent reasoning, planning, and long-term memory retrieval. The position works across product, engineering, and AI research teams to deliver scalable, performant assistants, and drives decisions on tooling, infrastructure, observability, and production readiness.

The role also provides technical leadership and mentorship, ensures end-to-end delivery across frontend, backend, and ML components, and promotes code quality, scalability, and maintainability. Responsibilities include contributing to roadmap and sprint planning, defining engineering workflows and coding standards, and improving delivery velocity, quality metrics, and GenAI tool adoption. The engineer must follow health and safety requirements, protect confidential information, maintain professional and technical knowledge, and contribute to team projects as needed. Travel may be required up to 10% domestically and internationally.

Requirements

• Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field.
• 10+ years of experience in software engineering, including 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 such as LangGraph, CAMEL, or AutoGen.
• Experience leading cross-functional initiatives in AI productization, intelligent automation, or AI-native user interfaces.
• Deep understanding of agentic system design and modern AI system architecture.
• Strong programming skills in Python and experience with production software development.
• Proficiency with LLM development and orchestration tools such as LangChain, LangGraph, CAMEL, LlamaIndex, AutoGen, or similar.
• Expertise in agent reasoning, multi-agent coordination, and role-based task decomposition.
• Working knowledge of RAG, memory systems, and API-driven tool use.
• Familiarity with vector databases such as FAISS, Weaviate, or Pinecone, and embedding techniques.
• Strong grasp of software architecture, distributed systems, and system integration principles.
• Ability to balance rapid prototyping with scalable production deployment.
• Knowledge of chatbot frameworks such as LangChain, Rasa, or custom pipelines.
• Proficiency with modern backend technologies such as Python, Node.js, and REST/gRPC APIs.
• Cloud-native development experience with GCP, AWS, or Azure.
• Experience working with MLOps and model deployment pipelines.
• Excellent communication and people leadership skills.
• Comfort operating in a fast-paced, startup-like environment within an established company.

Nice To Haves

• Experience in AI infrastructure, prompt engineering, or fine-tuning LLMs.
• Prior experience working in autonomous systems, virtual assistants, or cognitive agents.
• Experience with video intelligence systems or computer vision.
• Master’s degree in Computer Science, Computer Engineering, or a related field.
• Experience in IoT, software services, video, and AI.
• Experience with consumer electronics or smart home companies.

Responsibilities

• Oversee the design, development, and deployment of AI features in Chamberlain products, including video-based search, chatbot interfaces, and backend AI pipelines and APIs.
• Architect and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks.
• Design role-based architectures in which 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 support contextual conversations and task execution.
• Work with product, engineering, and AI research teams to ensure scalable and performant deployment of assistants.
• Drive decisions about tooling, infrastructure, observability, and production readiness.
• Mentor engineers in AI-native engineering patterns, architecture, and developments in the LLM ecosystem.
• Ensure end-to-end delivery across frontend, backend, and ML components, promoting code quality, scalability, and maintainability.
• Represent the technical perspective 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 team compliance.
• Protect Chamberlain Group’s reputation by keeping information confidential.
• Maintain professional and technical knowledge through educational workshops, professional publications, personal networks, and professional societies.
• Contribute to team efforts by completing related work and participating in projects as needed.
• Travel up to 10% domestically and internationally.

Benefits

• Comprehensive benefits package, subject to eligibility requirements.
• 401k contribution, subject to eligibility requirements.
• Eligible to participate in a short-term incentive plan, subject to applicable plan terms and policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior