About Us:
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, we can provide strategic advantages to our clients by offering legal support services at every stage of their legal proceedings.
Job Description:
Job Title: AI Engineer
Position Summary:
Magna Legal Services is seeking a highly skilled AI Engineer to join our growing technology team. The ideal candidate will have hands-on experience building and deploying AI/ML solutions in production environments, with a focus on applied AI in legal, medical, or professional services contexts. This is a fully remote role, offering the opportunity to make a direct impact on innovative AI initiatives that support our mission of empowering legal professionals with smarter tools.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
- Translate business needs into scalable machine learning models and automation workflows.
- Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.
- Maintain, optimize, and monitor deployed AI systems to ensure reliability, accuracy, and compliance.
- Integrate AI solutions into existing platforms, including natural language processing, summarization, and document quality control tools.
- Conduct research and stay current on emerging AI trends, tools, and frameworks that can be applied to legal services.
- Collaborate with cross-functional teams to identify opportunities for automation and innovation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of experience in AI/ML engineering with a strong track record of building and deploying production-grade AI systems.
- Proficiency in Python and experience with common AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn, etc.).
- Strong experience with NLP (summarization, entity extraction, classification, embeddings, LLMs).
- Experience deploying AI models via Azure cloud services
- Familiarity with MLOps practices: model versioning, monitoring, CI/CD pipelines.
- Strong problem-solving skills with the ability to work independently in a remote environment.
- Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.
Preferred Qualifications
- Experience in legal tech, health tech, or other regulated industries.
- Familiarity with data privacy, compliance, and ethical considerations in AI.
- Experience integrating AI into SaaS platforms and workflow automation systems.
- Familiarity with reviewing and building dotnet applications.
What We Offer
- Be part of a forward-thinking organization transforming the legal services industry through AI.
- Collaborate with a talented, diverse, and mission-driven team.
- Competitive compensation and benefits package.
- Flexible work environment.
Compensation: USD $150,000 - $175,000 per year.
An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of the total compensation package for employees.
Magna Legal Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
