Legal Staff Paralegal in Ann Arbor, MI

In-House

Ann Arbor, MI

Legal Staff Paralegal in Ann Arbor, MI

Legal Staff

Min 7 yrs required

No

Job Title: Lead AI Solutions Engineer

Job Responsibilities:
- Develop zero-to-one concepts for expert systems.
- Systematically discover and test prompt engineering best practices.
- Optimize data sets for prompt development, model training, and evaluation.
- Help create and maintain infrastructure required for efficient prompt development.
- Test and assess open-source solutions for large language model (LLM) application development, including orchestration frameworks, tool interfaces, and solutions for context management.
- Develop automated techniques for the design and evaluation of AI agents.
- Analyze usage data to gauge the effectiveness of AI solutions and iteratively improve them.
- Stay up to date with the latest research and emerging technology for AI Engineering.

Education and Experience Information:
- Required: Master’s degree in Computer Science, Machine Learning, or Data Science, or a bachelor's degree with equivalent experience.
- 7+ years of transferrable experience in natural language processing (NLP).
- Basic familiarity with the architecture and operation of large language models.
- Strong desire to work closely with subject matter experts on real-world use cases.
- Active interest in emerging research and industry trends in AI software development.
- Proficiency in Python and AI development tools.
- A mindset for good experiment design and evaluation; strong analytical and critical thinking skills.
- Excellent communication and organization skills.

Preferred Qualifications:
- Experience working on legal AI systems (., for contract analysis, legal research, or drafting).
- Domain knowledge in legal, tax, or accounting. A law degree (.), paralegal experience, etc.
- A portfolio of projects demonstrating creativity and skill in building solutions with LLMs.
- Experience developing NLP applications involving Named Entity Recognition (NER), information retrieval, text summarization, question answering, or similar.
- Knowledge of MLOps and the end-to-end lifecycle of software applications involving AI models.

Salary Information:
- In the United States, the base compensation range for this role is $116,900 - $217,100.
- This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
- Base pay is positioned within the range based on several factors including an individual’s knowledge, skills, and experience with consideration given to internal equity.

Additional Information:
- Hybrid Work Model: Flexible hybrid working environment with 2-3 days a week in the office.
- Flexibility & Work-Life Balance: Supportive workplace policies including work from anywhere for up to 8 weeks per year.
- Career Development and Growth: Opportunities for continuous learning and skill development.
- Industry Competitive Benefits: Comprehensive benefit plans, flexible vacation, two company-wide Mental Health Days off, retirement savings, tuition reimbursement, and more.
- Culture: Recognized for inclusion, belonging, flexibility, and work-life balance.
- Social Impact: Opportunities for pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

About the Company: