Mid-Level AI Engineer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Security
Artificial Intelligence
Artificial Intelligence Engineer
Data Analysis
Data Science
Generative AI
Generative Ai Engineer
Information Technology (IT)
Large Language Models
Machine Learning
Machine Learning Engineer
Management
Mid Level
Programming
Programming Language
Programming Languages
Project Management
Rag Architectures
Risk Management
Job Description
This role supports AI product and platform teams by delivering production-ready AI, ML, and Generative AI capabilities. The work includes designing, developing, testing, and deploying solutions such as LLM integrations and retrieval-augmented generation (RAG), with attention to responsible AI practices.
Key Responsibilities
- Design, develop, test, and deploy AI-enabled applications and services that target real business outcomes.
- Build and integrate Generative AI solutions using large language models (LLMs), including prompt and tool orchestration.
- Create AI agents, workflows, prompts, tools, and orchestration frameworks intended to 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, and add automated testing, monitoring, and observability.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- 3 to 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, along with cloud experience using Azure, AWS, or GCP.
- Strong software engineering fundamentals, including design patterns, testing, CI/CD, security, and observability.
Technical Focus
- Python, Java, C#, TypeScript, JavaScript
- REST APIs; Azure, AWS, GCP
- LLMs; prompt orchestration; tool orchestration
- Retrieval-augmented generation (RAG); semantic search
- CI/CD and observability
Location and Work Arrangement
Ann Arbor, MI (onsite)
Compensation
USD 50 to 54 per hour
Benefits
- 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
Benefits After Waiting Period Completion
Upon completion of the waiting period, consultants are eligible for the following:
- 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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