AI Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 110,000 - 152,000; Full time

Job summary

Machine Learning Technologies LLC in Chicago seeks a hands-on AI Engineer to prototype, develop, and deploy internal AI-powered tools and workflow automations. The ideal candidate is a strong coder who can translate business requirements into working AI solutions and proof-of-concepts.

The role focuses on building AI-powered applications, integrating LLMs, and deploying POCs in cloud or internal environments.

Qualifications

• Strong hands-on Python development experience.
• Experience building Generative AI / LLM applications.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM APIs.
• Strong understanding of prompt engineering, embeddings, vector databases, and RAG.
• Experience with REST APIs, JSON, databases, and system integrations.
• Experience building AI agents or agentic workflows.
• Familiarity with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Git, Docker, and cloud platforms (AWS/Azure/GCP).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Responsibilities

• Build and prototype AI-powered internal tools, applications, and automations.
• Develop solutions using Python and modern AI/ML frameworks and APIs.
• Integrate LLMs, Generative AI APIs, and AI agents into internal workflows.
• Build RAG-based applications, document processing, chatbots, and intelligent assistants.
• Develop integrations with internal systems, databases, APIs, and SaaS platforms.
• Create rapid POCs/MVPs, test ideas, and iterate based on user feedback.
• Automate repetitive business processes using AI and workflow automation.
• Work with stakeholders to identify high-value opportunities for AI adoption.
• Deploy and maintain AI prototypes in cloud or internal environments.
• Ensure solutions are secure, scalable, reliable, and practical for business use.

Skills

Python development

Generative AI

LLM APIs

Prompt engineering

Embeddings

Vector databases

REST APIs

JSON

Databases

System integrations

AI agents

LangChain

LlamaIndex

Semantic Kernel

Git

Docker

Cloud platforms

Problem solving

Tools

LangChain

LlamaIndex

Semantic Kernel

REST

Job description

Job Overview

• Job ID: J53975
• Job Title: AI Engineer
• Location: Chicago, IL
• Duration: 12 Months + Extension
• Domain Exposure: Oil & Gas
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Bill Rate: $88/hour

Job Summary

We are looking for a hands-on AI Engineer / AI Builder to prototype, develop, and deploy internal AI-powered tools and workflow automations. The ideal candidate is a strong coder who can quickly turn business requirements into working AI solutions and proof-of-concepts.

Key Responsibilities

• Build and prototype AI-powered internal tools, applications, and automations.
• Develop solutions using Python and modern AI/ML frameworks and APIs.
• Integrate LLMs, Generative AI APIs, and AI agents into internal workflows.
• Build RAG-based applications, document processing, chatbots, and intelligent assistants.
• Develop integrations with internal systems, databases, APIs, and SaaS platforms.
• Create rapid POCs/MVPs, test ideas, and iterate based on user feedback.
• Automate repetitive business processes using AI and workflow automation.
• Work with stakeholders to identify high-value opportunities for AI adoption.
• Deploy and maintain AI prototypes in cloud or internal environments.
• Ensure solutions are secure, scalable, reliable, and practical for business use.

Required Skills

• Strong hands-on Python development experience.
• Experience building Generative AI / LLM applications.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM APIs.
• Strong understanding of prompt engineering, embeddings, vector databases, and RAG.
• Experience with REST APIs, JSON, databases, and system integrations.
• Experience building AI agents or agentic workflows.
• Familiarity with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Git, Docker, and cloud platforms (AWS/Azure/GCP).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Nice To Have

• Experience with Power Automate, n8n, Zapier, or similar automation platforms.
• Experience with FastAPI, Streamlit, or similar tools for quickly building internal applications.
• Experience with Azure AI / AWS Bedrock / Google Vertex AI.
• Knowledge of AI security, governance, and responsible AI practices.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.