Applied Artificial Intelligence (AI) Engineer
Core
Design, build, and support AI-powered applications, workflows, and automation tools using LLMs to solve business challenges in engineering, supply chain, operations, and legal functions.
Role type
Applied AI Engineer (hands-on builder)
Builds
Document extraction workflows, AI assistants, process automation tools, and user-facing integrations
Domain
Enterprise AI / Generative AI / Supply Chain & Operations
Deliverable
production ML models | product features
Required skills
Python, LLM technologies, API integration, unstructured data processing, model deployment and monitoring, code documentation
Preferred skills
LangChain, LlamaIndex, Semantic Kernel, Azure OpenAI APIs, SQL, OCR, Power Platform, Copilot Studio, ERP systems, cloud platforms
Technologies
Python, LangChain, LlamaIndex, Semantic Kernel, OpenAI, Azure OpenAI, Azure, SQL, OCR
Responsibilities
Develop, test, and deploy AI solutions and workflows; Build applications using Python, APIs, and AI/LLM technologies; Work with structured and unstructured enterprise data sources; Create user-facing tools, automations, and integrations; Support testing, monitoring, and continuous improvement of AI solutions; Collaborate with business and technical teams to deliver impactful solutions
Seniority
Mid-level, hands-on IC