AI Engineer
Role details
Job location
Tech stack
Job description
This is not a traditional software engineering role. We are looking for engineers who have built real-world AI solutions that automate business processes using modern LLMs, autonomous agents, and enterprise integrations. You will work directly with executives and client teams to architect, build, and deploy AI systems into production., · Design and deploy production-ready Agentic AI and multi-agent systems.
· Build enterprise AI applications using Python, OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar platforms.
· Develop AI workflows using LangGraph, CrewAI, AutoGen, MCP, or comparable orchestration frameworks.
· Integrate AI solutions with APIs, databases, Microsoft 365, ERP, CRM, and other enterprise systems.
· Work directly with business leaders to translate operational challenges into AI solutions.
· Lead technical design discussions and mentor other engineers when appropriate.
· Evaluate emerging AI technologies and recommend practical solutions., AI Engineer, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models, LLM, OpenAI, Anthropic, Claude, Gemini, Azure OpenAI, Python, LangGraph, CrewAI, AutoGen, MCP, AI Automation, Enterprise AI, Machine Learning, Intelligent Automation, AI Consulting.
Requirements
· Professional experience building production AI applications.
· Strong Python development skills.
· Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.).
· Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration.
· Experience integrating REST APIs, databases, and enterprise applications.
· Excellent communication and client-facing consulting skills.
· Ability to explain complex AI concepts to technical and business audiences.
Preferred Experience
· LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar frameworks.
· Cloud platforms including Azure, AWS, or Google Cloud.
· Healthcare, manufacturing, supply chain, finance, procurement, or private equity.
· AI governance, security, evaluation, and responsible AI practices.
· Technical leadership or consulting experience.
Benefits & conditions
$75 - $100 an hour - Contract