Mid-Level AI Engineer

Experis Technology Group; Ann Arbor (MI); On-site; USD 69,000 - 74,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Health Savings Account (HSA)

Health Flexible Spending Account (FSA)

Dependent Care FSA

Life Insurance

Disability Insurance

Business Travel Insurance

401(k) with match

Weekly Pay

Job summary

Experis Technology Group's client in Ann Arbor, MI is seeking a Mid-Level AI Engineer to design, develop, and deploy AI-enabled applications in production. You will work within AI product and platform teams to deliver scalable AI features with strong reliability and governance.

The role requires 3–6 years of software development experience, deep knowledge of Python/Java/C#/TypeScript, and cloud exposure across Azure, AWS, or GCP.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Java

C#

TypeScript/JavaScript

REST APIs

CI/CD

Observability

Education

Bachelor's degree in CS/SE/Data Science or related field

Tools

Azure

AWS

GCP

Job description

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