Mid-Level AI Engineer

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

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

401(k) Plus Match

Weekly Pay

HMO/Health Savings Account options

Job summary

Experis is hiring a Mid-Level AI Engineer to support AI product and platform teams in building production-ready solutions. This onsite role in Ann Arbor, MI focuses on practical AI and Generative AI capabilities, including LLM integrations and retrieval-augmented generation (RAG), with responsible AI considerations.

You’ll design and deliver AI-enabled applications and services that aim to drive real business outcomes, with emphasis on reliable LLM-powered systems, automated testing, monitoring,

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• 3–6 years of software development experience, including 2+ years building AI/ML or Generative AI applications.
• Strong programming skills in Python, Java, C#, TypeScript/JavaScript.
• Experience developing REST APIs and distributed services, with cloud experience in Azure, AWS, or GCP.
• Solid 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 run reliably in production.
• Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval to improve answer quality and relevance.
• Evaluate and benchmark AI model performance, then optimize for quality, cost, and latency while adding automated testing, monitoring, and observability.

Skills

AI/ML development

Software engineering fundamentals

CI/CD

Observability

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field

Tools

Python

Java

C#

TypeScript/JavaScript

REST APIs

Azure

AWS

GCP

Job description

Experis is hiring a Mid-Level AI Engineer to support AI product and platform teams in building production-ready solutions. This onsite role in Ann Arbor, MI focuses on engineering practical AI and Generative AI capabilities, including LLM integrations and retrieval-augmented generation (RAG), with responsible AI considerations.

You’ll design and deliver AI-enabled applications and services that aim to drive real business outcomes. The work includes building reliable LLM-powered systems, adding automated testing and monitoring, and improving model performance across quality, cost, and latency.

What you’ll do

• 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 run reliably in production.
• Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval to improve answer quality and relevance.
• Evaluate and benchmark AI model performance, then optimize for quality, cost, and latency while adding automated testing, monitoring, and observability.

What you bring

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• 3–6 years of software development experience, including 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, with cloud experience in Azure, AWS, or GCP.
• Solid software engineering fundamentals, including design patterns, testing, CI/CD, security, and observability.

Tools and technologies

Python, Java, C#, TypeScript, JavaScript, REST APIs, Azure, AWS, GCP, LLMs, prompt orchestration, tool orchestration, retrieval-augmented generation (RAG), semantic search, CI/CD, observability.

Compensation and benefits

Pay: USD 50–54 per hour. Location: Ann Arbor, MI (onsite). Minimum experience: 3 years.

Benefits include:

• 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

Upon completion of the waiting period, consultants are eligible for the same benefits listed above.