Senior AI/ML Engineer

Creative Financial Staffing, LLC; Glenview (IL); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision care

401K

PTO

Retirement contribution

Job summary

Creative Financial Staffing, LLC is seeking a Senior AI/ML Engineer to design, develop, and deploy AI-powered applications that drive business value within a hybrid work environment in Glenview, IL. You will build production-ready solutions using LLMs, RAG, embeddings, and vector search, collaborating with stakeholders to translate use cases into scalable AI products.

Responsibilities include integrating AI with enterprise workflows and cloud platforms (Azure/AWS), ensuring security and

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, LLM APIs and model evaluation, agentic AI and workflow orchestration.
• 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, 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.

Skills

Python development

AI/ML technologies

Enterprise AI solutions

2+ years enterprise AI

LLM applications

RAG architectures

Prompt engineering

Agentic AI

Tools

LLM APIs

RAG architectures

Embeddings & vector search

Prompt engineering

Agentic AI frameworks

Azure & AWS

Job description

Senior AI/ML Engineer

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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