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Mid-Level AI Engineer
Experis Technology Group
34 minutes ago
Full-time
On-site
Our client, an industry-leading organization is seeking a Mid-Level AI Engineer to join their team. As a Mid-Level AI Engineer, you will be part of the Engineering organization supporting AI product and platform teams. The ideal candidate will have strong software engineering fundamentals, hands-on experience building and deploying AI/ML or Generative AI applications, and the drive to deliver production-ready features with quality, reliability, and responsible AI practices.
Job Title:Mid-Level AI Engineer
Location:Ann Arbor, MI
Pay Range:$50-$54/hr
What's the Job?
Design, develop, test, and deploy AI-enabled applications and services that support real business outcomes. Build and integrate Generative AI solutions using large language models (LLMs), including prompt and tool orchestration. Develop AI agents, workflows, prompts, tools, and orchestration frameworks that can operate reliably in production. Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to improve answer quality and relevance. Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency while adding automated testing, monitoring, and observability.
What's Needed?
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. 3–6 years of software development experience, with 2+ years building AI/ML or Generative AI applications. Strong programming skills in one or more of: Python, Java, C#, TypeScript/JavaScript. Experience developing REST APIs and distributed services, including cloud experience with Azure, AWS, or GCP. Strong software engineering fundamentals including design patterns, testing, CI/CD, security, and observability.
What's in it for me?
Work on scalable AI solutions using modern machine learning, generative AI, agent frameworks, and enterprise engineering practices. Build production-ready AI features with guidance from senior engineers and architects while owning delivery. Collaborate across software engineering, product, architecture, and data teams to translate requirements into technical solutions. Contribute to responsible AI, security, privacy, and governance controls within AI applications. Support AI applications in production, including troubleshooting and incident resolution.
Upon completion of waiting period consultants are eligible for:
Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay
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Design, develop, test, and deploy AI-enabled applications and services that support real business outcomes. Build and integrate Generative AI solutions using large language models (LLMs), including prompt and tool orchestration. Develop AI agents, workflows, prompts, tools, and orchestration frameworks that can operate reliably in production. Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to improve answer quality and relevance. Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency while adding automated testing, monitoring, and observability.
What's Needed?
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. 3–6 years of software development experience, with 2+ years building AI/ML or Generative AI applications. Strong programming skills in one or more of: Python, Java, C#, TypeScript/JavaScript. Experience developing REST APIs and distributed services, including cloud experience with Azure, AWS, or GCP. Strong software engineering fundamentals including design patterns, testing, CI/CD, security, and observability.
What's in it for me?
Work on scalable AI solutions using modern machine learning, generative AI, agent frameworks, and enterprise engineering practices. Build production-ready AI features with guidance from senior engineers and architects while owning delivery. Collaborate across software engineering, product, architecture, and data teams to translate requirements into technical solutions. Contribute to responsible AI, security, privacy, and governance controls within AI applications. Support AI applications in production, including troubleshooting and incident resolution.
Upon completion of waiting period consultants are eligible for:
Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay
#J-18808-Ljbffr