AI Engineer — Build AI Tools & Automations (Chicago)

Robotics Technologies LLC; Chicago (IL); In loco; USD 96.000 - 152.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC is seeking a hands-on AI Engineer to prototype, develop, and deploy internal AI-powered tools and workflow automations in Chicago. You will turn business requirements into working AI solutions and proof-of-concepts, with a focus on rapid POCs/MVPs and stakeholder collaboration.

The role requires strong coding skills, experience with Python and modern AI/ML frameworks, and the ability to deploy AI prototypes securely and scalably in cloud or internal environments.

Competenze

• Hands-on AI Engineer with ability to prototype AI solutions.
• Experience building AI-powered tools and workflows.
• Proficient in Python and AI/ML frameworks.

Mansioni

• 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.

Conoscenze

Generative AI apps

LLM APIs

Prompt engineering

Embeddings & vectors

REST APIs

Databases integrations

LangChain

Docker

Cloud platforms

Git

Strumenti

LangChain

LlamaIndex

Semantic Kernel

Azure OpenAI

OpenAI API

Descrizione del lavoro

Robotics Technologies LLC is seeking a hands-on AI Engineer to prototype, develop, and deploy internal AI-powered tools and workflow automations in Chicago. You will turn business requirements into working AI solutions and proof-of-concepts, with a focus on rapid POCs/MVPs and stakeholder collaboration.

The role requires strong coding skills, experience with Python and modern AI/ML frameworks, and the ability to deploy AI prototypes securely and scalably in cloud or internal environments.