Alexi is an AI platform for litigators. We are on a mission to transform the legal services industry by building cutting edge AI-powered solutions. We are a team of software engineers, lawyers and designers working hard to achieve our long-term mission.

As the Director of Artificial Intelligence, you will lead strategic R&D efforts focusing on large language models (LLMs), natural language processing (NLP), and natural language understanding (NLU). Your role involves staying at the forefront of AI research, prototyping innovative solutions, and collaborating with cross-functional teams to integrate and enhance AI capabilities, ultimately driving both short-term product gains and long-term foundational advancements.

Responsibilities:

• System Thinking & Foresight: Invest in research and development (R&D) with a foresight perspective, allowing 3-9 months for R&D, experimentation, and iteration.
• Resource Allocation: Allocate resources towards large language models (LLMs), retrieval mechanisms, and enhanced conversational AI models.
• Integration & Collaboration: Work closely with platform, data, and product teams to align on the roadmap, pitching ideas and convincing stakeholders.
• AI Deployment & Experimentation: Leverage mature in-house or external AI models, continuously experiment, and iterate to build foundational AI features.

Research & Development

• Stay Current: Keep up-to-date with the latest advancements in AI, including NLP, LLM, NLU, ML agents, and scientific publications.
• Publication & Leadership: Publish research findings, maintain technical leadership, and contribute to the scientific community.

Productization

• Open Source Community Engagement: Participate in and contribute to the open-source AI community, translating AI research into practical product solutions.
• Prototype Development: Focus on prototyping and proof-of-concept models, transferring successful prototypes to the platform team for deployment.

Technical Oversight

• AI Model Audit & Improvement: Continuously audit current AI capabilities, identify limitations, and improve existing models while building new ones.
• Technical Roadmap: Develop and manage a technical roadmap, bringing expertise in LLMs to adapt and invest in R&D for future advancements.
• Project Management: Oversee the state and limitations of various models within the team, ensuring efficient management and enhancement of AI models.

Strategic Impact

• Adaptation & Vision: Help the company adapt quickly to industry changes by sharing strategic insights and following cutting-edge research.
• Training & Scaling: Prepare and scale new training models and datasets to build a robust AI practice.

Key Competencies

• Experimental Mindset: Foster an experimental approach within the team.
• Vector & Semantic Search: Build expertise in vector search and semantic search to enhance AI capabilities.

Exclusions

• Model Deployment: The role does not involve deploying models into production; this is handled by the platform team.
• Operational Oversight: Focus is more on R&D and prototyping rather than day-to-day operational deployment.

Qualifications:

• Python
• Pytorch
• Tensoflow
• Research background/ published papers

Culture:

We are a dynamic team of engineers bringing together iterative NLP model development, high performance systems engineering and effective software development. Much of our work is highly experimental. We are not perfectionists, we move fast, and are not afraid to be on the learning curve. A willingness to learn and a can-do attitude are must-haves to survive and thrive in this team.

As a startup we often have to find a balance between speed, quality and cost of development. This often requires us to think creatively and even invent what doesn’t exist. We are ambitious, we take risks, and we embrace failure in a judgment free but accountable environment.

We work in a trust-based, mission-driven, goal-oriented, fully-remote work environment. We enable each other, but also consciously protect our time to deliver high quality work, to help create a thriving innovation culture.

Benefits:

• Competitive Stock Options
• Competitive Pay
• Unlimited vacation days (with minimum mandatory 3 weeks paid time off)
• Additional paid time off winter holidays (last week of December)
• Company-wide innovation days – dedicated to projects you’d like to innovate on within the context of the work the company is doing
• Latest MacBook Pro dedicated for work, and any other equipment that enables you for work
• Hybrid work environment (flexible). Easy public transit access to office in downtown Toronto
• No red tape, no unnecessary processes, accelerated learning and growth.
• Health benefits
• Work for a high growth startup, wear multiple hats, make a real impact. We are building something legit and impactful, that can truly change the world for good.