About Us

Tram Case is revolutionizing legal technology with AI-driven tools that enhance efficiency and accessibility for legal professionals. We're undertaking high-impact technology transformation, partnering with a high-volume immigration law firm to optimize workflows and streamline processes. Join us in building the future of legal tech, where impactful innovation meets user-centric design.

Role Overview

As an AI Engineer at Tram Case, you will be at the forefront of integrating AI capabilities into our legal technology platform. You'll design and implement AI systems that enhance our platform's ability to process legal documents, automate workflows, and provide intelligent assistance to legal professionals. Working with cutting-edge language models and AI frameworks, you'll help shape the future of legal technology while ensuring reliability, scalability, and ethical AI implementation.

 📖Interview Preparation Guide

Key Responsibilities

• AI System Development: Design and implement AI systems that leverage large language models for legal document processing and analysis
• Prompt Engineering: Develop and optimize prompts for effective model interactions in legal contexts
• Model Fine-tuning: Fine-tune and adapt models for specialized legal tasks and workflows
• Evaluation Framework: Create robust testing and evaluation frameworks to ensure AI system reliability and accuracy
• Integration: Work closely with backend teams to integrate AI capabilities into our existing infrastructure
• Research & Innovation: Stay current with AI advancements and identify opportunities for applying new technologies

Technical Proficiency

• AI/ML Experience: Strong background in machine learning, natural language processing, and large language models
• Programming: Proficiency in Python and popular AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Backend Integration: Experience with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure)
• Data Management: Expertise in handling large datasets and optimizing model performance
• MLOps: Experience with ML model deployment, monitoring, and maintenance in production environments

Qualifications

• Experience: 4-6 years of experience in AI/ML engineering, with demonstrated success in deploying production AI systems
• Technical Expertise: Strong foundation in machine learning, deep learning, and natural language processing
• Problem-Solving: Ability to tackle complex AI implementation challenges and optimize system performance
• Communication: Excellent ability to explain technical concepts to both technical and non-technical stakeholders

Perks and Benefits

• Remote-First Work Environment: Enjoy the flexibility to work from anywhere, with a remote-first setup that supports work-life balance and productivity.
• Competitive Salary: We offer a competitive salary to recognize and reward your skills and contributions.
• Unlimited Paid Time Off: Take the time you need with an unlimited PTO policy, empowering you to recharge and maintain balance.
• Professional Development: Access resources for growth, including conference passes, online courses, and training programs to support your career advancement.
• Home Office Stipend: We provide a budget for setting up your home office with high-quality equipment and tools.
• Latest Tech Gear: Receive a top-of-the-line laptop and any necessary peripherals to ensure you have the best tools to do your best work.
• Team Retreats and Virtual Events: Participate in team-building retreats and regular virtual gatherings to connect with colleagues and strengthen our culture.
• Parental Leave: We offer paid parental leave to support you and your family during this important time.