Sr. Engineer, Software - GenAI; Hybrid

Position: Sr. Engineer, Software - GenAI (Hybrid)
## Sr. Engineer, Software - GenAI (Hybrid)
Apply locations:
Oak Brook, ILtime type:
Full time posted on:
Posted 3 Days Agojob requisition :
JR30976

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, Lift Master  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 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.

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., 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,…