AI Engineer

Artifintech

Chicago (IL)

On-site

USD 103,000 - 139,000

Full time

Just now
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Job summary

Artifintech in Chicago seeks a hands-on AI Engineer to prototype, develop, and deploy internal AI-powered tools and workflows. You will translate business needs into working AI solutions and rapid prototypes.

You’ll build AI applications with Python, integrate LLM APIs, and create RAG-based systems, chatbots, and automation across internal platforms, ensuring secure, scalable deployments and practical value for the business.

Qualifications

  • Hands-on experience prototyping and deploying AI-powered tools.
  • Strong coding skills and ability to translate business requirements into AI solutions.
  • Experience with internal tooling and workflow automation.
  • Experience with integrating AI services and data sources.

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

Generative AI
LLM applications
Prompt engineering
Embeddings
Vector databases
REST APIs
AI agent workflows
Git/Docker basics

Tools

Git
Docker
Cloud platforms (AWS/Azure/GCP)
LangChain / LlamaIndex
APIs integration

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer
Location : Chicago IL
Duration: 12 Months + Extension
Bill Rate: $88/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

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
  • 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.

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.

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