AI Engineer

Robotics Technologies LLC
Chicago, IL, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$183,040.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Cloud Computing Databases JSON Python (Programming Language) Automation of Marketing OpenAI Tensorflow
+22 more
Systems Integration Application Enhancement Tool Chatbots Microsoft Power Automate LangChain Retrieval-Augmented Generation Large Language Models Prompt Engineering Google Vertex AI Zapier Llamaindex Generative AI Agentic-AI Git Fastapi Nintex Azure AI Google Gemini Restful APIs Streamlit Framework Semantic Kernel Docker

Job description

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., * 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.

Requirements

  • 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.

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