Senior Software Engineer – GenAI

Chamberlain Group

Senior Engineer, Software developing agentic AI systems for Chamberlain Group. Focusing on AI system planning and LLM workflows with a strong engineering background.

Posted 6/17/2026full-timeOak Brook • Illinois • 🇺🇸 United StatesSenior💰 $85,500 - $162,975 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

Comprehensive benefits package
401k contribution
Short-term incentive plan participation

ATS Keywords

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Hard Skills & Tools

PythonLLMsagentic AI systemsRAGMCPLLM orchestration toolsvector databaseschatbot frameworkssoftware architectureMLOps

Soft Skills

communicationcross-team collaborationtechnical analysisworkflow recommendationsknowledge transfermonitoring progressrisk managementagile practicesproblem-solvingprofessional development