TL;DR

Senior Software Engineer (AI): Building and expanding the foundations of a document extraction pipeline, leveraging LLMs & AI tooling to identify accurate data across files and cases. Focus on integrating ML models into production workflows and simplifying ML deployment and observability.

Location: Hybrid role based in either Toronto or San Francisco, with the expectation of working at least 3 days a week from the downtown hubs.

Salary: CA$109.2K – CA$265.1K in Toronto

Company

%hirify_global% is on a mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims to get the justice they deserve.

What you will do

Build and expand the foundations of the document extraction pipeline, leveraging LLMs & AI tooling to identify accurate data across files and cases.
Design and develop modularized services to increase the capabilities and scope of data infrastructure.
Collaborate with the Data Science team to integrate ML models into production workflows and simplify ML deployment and observability.
Implement event-driven, low-latency systems to empower stakeholders with accurate and reliable data.
Analyze and solve key performance bottlenecks, scaling challenges, and high availability issues.
Help grow the engineering team and define a “data first” mentality across the organization.

Requirements

5+ years of experience designing and building distributed data systems.
Experience architecting and scaling event-driven architectures.
Strong understanding and practical experience with data pipeline tooling and storage systems such as Post, Dagster, BigQuery, Elasticsearch.
Ability to communicate cross-functionally with various stakeholders to derive requirements and architect scalable solutions.
Experience building high-quality software, shipping production-ready code and infrastructure.

Nice to have

Fluency in Python, SQL, and GraphQL.
Previous experience integrating ML models and LLMs into data services.
Domain expertise in legal technology, medical records, and working with unstructured data.

Culture & Benefits

Choice of medical, dental, and vision insurance plans.
Flexible paid time off, sick leave, short-term and long-term disability.
10 US observed holidays, and Canadian statutory holidays by province.
Home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.