AI Engineer

Cyclotron, Inc.•Chicago, IL

5d•$100,000 - $140,000•Remote

About The Position

Cyclotron's AI Engineering team is hiring an AI Engineer to help deliver production AI systems for our enterprise clients. As an AI Engineer, you will assist in building and deploying AI-driven applications using Microsoft technologies. Work closely with senior architects to implement components of intelligent solutions, gain hands-on experience with AI and Agentic Solutions, and contribute to secure, scalable cloud solutions.

Requirements

Bachelor’s degree in computer science, Engineering, or a related field.
At least 2 years of hands-on experience designing, building, and deploying AI solutions within the Microsoft ecosystem.
Exposure to generative AI, large language models (LLMs), and prompt engineering
Strong familiarity with Microsoft Azure cloud services.
Experience in developing and integrating web services.
Proficiency in .NET and Python for AI solution development.
Ability to integrate AI models into enterprise applications using REST APIs and SDKs.
Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols; implementation experience will be highly valued.
Experience with AI orchestration frameworks such as Semantic Kernel, LangChain, or similar tools for agent orchestration.
Experience with Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure AI Search, Speech, Vision, and Foundry)

Nice To Haves

Microsoft certifications such as Azure AI Engineer Associate are highly preferred.
Clear and effective verbal and written communication for both technical and non-technical audiences
Confident presentation skills, including the ability to explain complex concepts to senior clients.
Ability to engage with cross-functional teams in collaborative environments
Ability to foster a problem-solving culture and contribute meaningfully to team objectives.
Healthy sense of responsibility, accountability, and trust-building with client stakeholders.
Ability to communicate expectations around deliverables relative to time and scope.
Growth mindset and willingness to continuously improve skills and adopt new technologies.
Comfort in fast-paced consulting environments and ability to learn new tools and concepts.
Results-oriented approach with a reputation for getting things done.
Quality organizational skills

Responsibilities

Assist in developing and deploying AI-driven solutions using pro-code tools, Azure AI Foundry, and related services.
Support configuration and testing of intelligent agents across cloud (Azure) environments.
Collaborate on building and optimizing AI systems and integrations under senior guidance.
Help implement data ingestion, transformation, and validation workflows to support optimizing data for AI workloads.
Participate in AI driven data discovery and exploration.
Learn and apply best practices for security, compliance, and responsible AI solution development.
Create documentation of technical processes and solution designs.
Engage in team discussions and knowledge-sharing sessions to grow technical expertise.