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$86k–$163k/yr
Full-time
bachelor degree, postgraduate degree
Comprehensive Benefits Package, 401k Contribution, Short-term Incentive Plan
Posted 50d ago
~40 hrs/week
Responsibilities
Contribute to the planning, scoping, and building of agentic AI systems using LLMs, RAG, and orchestration frameworks. Conduct analysis on agent reasoning and memory behaviors while collaborating across teams to deploy scalable AI assistants.
Requirements
Requires a Bachelor's or Master's degree in Computer Science or a related field with over 8 years of software engineering experience. Must have at least one year of experience working with LLMs or agentic AI systems and proficiency in Python.
Full job description
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
This is a role within CG's Engineering group. A successful incumbent is expected to (i) Contribute to planning and scoping of agentic AI systems by evaluating models, frameworks, and integration options, and by assisting engineering teams with technical analysis and workflow recommendations., and (ii) Assist and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks.
Job Responsibilities:
Contribute to planning and scoping of agentic AI systems by evaluating models, frameworks, and integration options, and by assisting engineering teams with technical analysis and workflow recommendations.
Assist and build 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 LangChain, LangGraph, 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.
Job Requirements:
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.
Knowledge, Skills, and Abilities:
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., LangChain, LangGraph, LlamaIndex, 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., LangChain, 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.
Other:
Ability to travel up to 10% of the time domestically and internationally
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
Familiarity with video foundation models, multimodal LLM and/or video summarization use cases.
The pay range for this position is $85,500.00 - $162,975.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In 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. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re 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 [email protected].
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
Making access simple and secure with #myQconnected solutions.
Industry
Software Development
Company size
5,001-10,000 employees
Headquarters
Oak Brook, Illinois
LinkedIn followers
50,427
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 50+ million homes, and 15 million+ people rely on the myQ app daily.
Chamberlain Group earned a spot on Built In’s 2026 Best Places to Work Awards for Chicago.
Offices: Oak Brook, Illinois 60523, US · Nogales, MX · Sydney, AU · Tucson, AZ, US · Saarbrüken, DE
Residential Garage Door OpenersSecurityCommercial Door OperatorsAccess SolutionsGate OperatorsConnectivity & ControlsAccess ServicesFacility Access ControlsIoTsmart home
Based on 4304 listings with disclosed salaries, most technology jobs in Illinois pay between $85k–$200k per year. Individual offers vary with seniority, company size, and specialization.
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