Location: Ann Arbor, MI Salary: $50.00 USD Hourly - $55.00 USD Hourly Description: Our client is currently seeking a Mid-Level AI Engineer / AI Developer
Location: Ann Arbor, MI (100% Onsite for the first 6 months; Hybrid: 4 days onsite, 1 day remote of your choice thereafter)
Duration: 18 months
About the job:
As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that drive innovation and efficiency. You will work closely with cross-functional teams-including software engineers, product managers, architects, and data teams-to build scalable AI solutions utilizing modern machine learning, generative AI, agent frameworks, and enterprise-grade software engineering practices.
In this role, you will combine strong software development principles with hands-on experience building, integrating, and operating AI solutions in production environments. You will take ownership of your projects from the initial design phase through to deployment and production support. Whether you are developing AI copilots, knowledge search platforms, document intelligence solutions, or agentic automation workflows, your work will directly improve developer and customer productivity while adhering to strict enterprise governance, security, and privacy requirements.
Responsibilities:
Design, develop, test, and deploy AI-enabled applications, APIs, microservices, and backend services to support complex AI workloads.
Build and integrate Generative AI solutions using Large Language Models (LLMs).
Develop AI agents, workflows, prompts, tools, and orchestration frameworks.
Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions.
Evaluate, benchmark, and optimize AI model performance, focusing on quality, cost, and latency.
Develop automated testing, monitoring, and observability for AI applications, and participate in production troubleshooting and incident resolution.
Collaborate with product owners and business stakeholders to translate business requirements into robust technical solutions.
Implement responsible AI practices, security, privacy, and governance controls across all AI solutions while contributing to architectural decisions and coding standards.
Minimum qualifications:
Bachelor's degree in Computer Science, Software Engineering, Data Science, a related field, or equivalent practical experience.
3 years of experience in software development.
2 years of experience building Artificial Intelligence, Machine Learning, or Generative AI applications.
Experience programming in one or more of the following languages: Python, Java, C#, or TypeScript/JavaScript.
Experience developing REST APIs and distributed services.
Experience working with cloud computing platforms (e.g., Azure, AWS, or Google Cloud Platform) and software engineering fundamentals (e.g., design patterns, testing, CI/CD, security, and observability).
Preferred qualifications:
Experience with Large Language Model (LLM) platforms (e.g., OpenAI, Anthropic Claude, Azure OpenAI, Gemini).
Experience building AI agents, MCP-based integrations, tool-calling frameworks, and multi-agent workflows.
Experience with Retrieval-Augmented Generation (RAG) architectures, embeddings, and vector databases.
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes, Cloud Run).
Familiarity with prompt engineering, evaluation frameworks, and working in Agile development environments.
Ability to independently deliver AI features while working under technical guidance from senior engineering leadership.
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Contact:
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: cxjudgpa
- Position Id: 1140197
- Posted 30+ days ago
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