Senior AI Systems Engineer — Agentic LLMs & Pipelines

Aimlroles; Oak Brook (IL); Presencial; USD 86 000 - 163 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Benefits package

401(k) contribution

Resumo da oferta

Chamberlain Group is seeking an experienced engineer to contribute to planning and scoping of agentic AI systems and support engineering teams with technical analyses and workflow recommendations. The role focuses on building assistant systems using LLMs, RAG, MCP, and orchestration frameworks.

You will analyze models, experiment with agent reasoning and memory, and help design scalable deployments across frontend, backend, and ML teams. Competitive pay and comprehensive benefits offered.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

LLM orchestration

Python

AI system design

Vector databases

Cloud platforms

RAG pipelines

Cross-team collaboration

Production-grade development

Agile engineering practices

Formação académica

Bachelor's degree in CS/EE

Master's degree (preferred)

Ferramentas

LangChain

LangGraph

LlamaIndex

CAMEL

Rasa

Descrição da oferta de emprego

Chamberlain Group is seeking an experienced engineer to contribute to planning and scoping of agentic AI systems and support engineering teams with technical analyses and workflow recommendations. The role focuses on building assistant systems using LLMs, RAG, MCP, and orchestration frameworks.

You will analyze models, experiment with agent reasoning and memory, and help design scalable deployments across frontend, backend, and ML teams. Competitive pay and comprehensive benefits offered.