AI Engineer

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 100,000 - 142,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Chicago IL is seeking an 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 turn business requirements into working AI solutions and proof-of-concepts using Python and modern AI/ML frameworks.

Responsibilities include building AI-powered tools, integrating LLMs, creating POCs, and deploying secure, scalable AI prototypes across cloud or internal

Qualifications

• Hands-on experience building Generative AI / LLM applications.
• Experience with major LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini).
• Strong prompt engineering, embeddings and vector databases (RAG).
• Proficiency with REST APIs, JSON, databases and system integration.
• Experience building AI agents or agentic workflows.
• Familiarity with LangChain or similar frameworks.
• Experience with Git, Docker and cloud platforms (AWS/Azure/GCP).
• Strong self‑management 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

Gen AI/LLM apps

LLM APIs

Prompt engineering

REST/Databases

AI agents

LangChain/LlamaIndex

Git/Docker/Cloud

Independent worker

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.

Some of our Business Ventures - Knowledge Analytics

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