Sr. Engineer, Software - GenAI (Hybrid)

The Chamberlain Group LLC; South Carolina; On-site; USD 85,500 - 162,975; Full time

Benefits offered by this job

Comprehensive benefits package

401(k) contribution

Short-term incentive plan

Job summary

The Chamberlain Group LLC seeks an experienced software engineer to develop and optimize agentic AI systems. Candidates should have a strong background in Python and AI systems, with experience in project planning and collaboration among product, engineering, and research teams.

This position offers a salary range of $85,500.00 - $162,975.00, including comprehensive benefits and participation in a short-term incentive plan.

Qualifications

• 8+ years of experience in software engineering, with at least 1 year working with LLMs.
• Strong knowledge of agentic system concepts and LLM-based workflows.
• Hands-on experience with LLM orchestration tools.

Responsibilities

• Evaluate models, frameworks, and integration options for agentic AI systems.
• Build and optimize pipelines using tools like LangChain and CAMEL.
• Support end-to-end delivery across frontend, backend, and ML teams.

Skills

Agentic AI systems

Python

LLM orchestration tools (LangChain, LangGraph, CAMEL)

Software engineering

Communication and collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

FAISS

Pinecone

Weaviate

MLOps practices

Job description

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.

Job Responsibilities

• 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 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.

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.
• 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.
• Ability to travel up to 10% of the time domestically and internationally.

Preferred Requirements

• Master’s degree in Computer Science, Computer Engineering, or related field.
• Experience in IoT, software services, video, and AI.
• Experience with consumer electronics or smart home companies.
• Familiarity with video foundation models, multimodal LLMs, and/or video summarization use cases.

Compensation

The pay range for this position is $85,500.00 - $162,975.00. Base pay may vary depending on location, education, training, and experience. In addition to base pay, a comprehensive benefits package and 401(k) contribution are offered (subject to eligibility requirements). The position is eligible for participation in a short‑term incentive plan.

EEO Statement

Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We are proud to be an Equal Opportunity Employer, and you will be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We are 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 [e-mail].