Senior AI/ML Engineer

CFS; Glenview (IL); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401K

PTO

Strong employer contribution to retire

Job summary

CFS is seeking a Senior AI/ML Engineer in Glenview, IL to design, build, and deploy enterprise‑scale AI solutions. You will craft copilots, agents, and workflow automations using LLMs, RAG, embeddings, and semantic search.

You will collaborate with business stakeholders to translate use cases into scalable AI products, ensure security and governance, and support cloud deployments on Azure and AWS.

Qualifications

• 7+ years of software engineering experience, including 2+ years building enterprise AI solutions.
• Hands-on experience with LLM application development, RAG architectures, prompt engineering, embeddings, vector search, and LLM APIs.
• Strong Python development skills and hands-on experience with AI/ML technologies.
• Experience deploying and supporting applications in Azure and/or AWS environments.

Responsibilities

• Design, deploy, and support AI-powered applications, copilots, agents, and workflow automations.
• Build production-ready AI solutions using LLMs, RAG, vector databases, embeddings, semantic search, and prompt engineering.
• Develop AI agents that securely leverage enterprise data, knowledge repositories, APIs, and business workflows.
• Integrate AI solutions with cloud platforms and collaboration tools across Azure and AWS.
• Create reusable AI components, prompts, connectors, and frameworks to speed future AI development.
• Partner with stakeholders to translate use cases into scalable AI products with measurable impact.
• Ensure AI solutions meet security, governance, privacy, and responsible AI standards.

Skills

Python

LLM development

RAG architectures

Prompt engineering

Embeddings

Vector search

Azure/AWS cloud

Tools

Azure

AWS

LLM APIs

Job description

Senior AI/ML Engineer

Job Details

Compensation: $160,000 - $200,000

Work Environment: Hybrid (2 days onsite)

Office Location: Glenview, IL

Benefits: Health, Dental, Vision, 401K, PTO, Strong employer contribution to retirement

Key Responsibilities

• Design, develop, deploy, and support AI-powered applications, copilots, agents, and workflow automations.
• Build production-ready AI solutions using LLMs, RAG, vector databases, embeddings, semantic search, and prompt engineering.
• Develop AI agents that securely leverage enterprise data, knowledge repositories, APIs, and business workflows.
• Integrate AI solutions with cloud platforms, enterprise systems, and collaboration tools across Azure and AWS.
• Create reusable AI components, prompts, connectors, and frameworks to accelerate future AI development.
• Partner with business and technical stakeholders to translate use cases into scalable AI products with measurable business impact.
• Ensure AI solutions meet enterprise standards for security, governance, privacy, and responsible AI.

Required Qualifications

• 7+ years of software engineering experience, including 2+ years building enterprise AI solutions.
• Hands-on experience with:
  • LLM application development
  • RAG architectures
  • Prompt engineering
  • Embeddings and vector search
  • LLM APIs and model evaluation
  • Agentic AI and workflow orchestration
• Strong Python development skills and hands-on experience with AI/ML technologies.
• Experience building LLM-based applications using RAG, prompt engineering, embeddings, vector search, and agentic AI frameworks.
• Proven success delivering production-ready AI solutions that drive automation, productivity, or business efficiency.
• Experience deploying and supporting applications in Azure and/or AWS environments.

Preferred Qualifications

• Experience with Azure AI Foundry, Azure AI Search, Copilot Studio, Amazon Bedrock, SageMaker, Pinecone, OpenSearch, or similar AI platforms.
• Knowledge of NLP, semantic search, vector databases, and model evaluation.
• Experience integrating AI solutions through APIs, containers, Azure Functions, or AWS Lambda.
• Familiarity with AI governance, security, and responsible AI best practices.

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