Live opening · Posted 1 day ago

Lead Engineer

Somi AI · Canada (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanySomi AI
LocationCanada (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Company Description Somi AI is dedicated to rethinking intelligence and building next-generation AI systems that are more adaptive, transparent, and aligned with human needs. The team focuses on innovative approaches to machine learning and AI infrastructure, emphasizing robust engineering and responsible deployment. Somi AI values curiosity, autonomy, and collaboration, creating an environment where technical leaders can shape both product and platform direction. As a remote-first organization, Somi AI enables team members to contribute from anywhere while working on impactful AI solutions.
Role Description The Lead Engineer role is a full-time, remote position responsible for driving the technical vision and implementation of core Somi AI products and infrastructure. Day-to-day tasks include designing and reviewing system architectures, writing high-quality production code, and ensuring scalability, reliability, and security across services and platforms. The Lead Engineer collaborates closely with product, research, and operations teams to translate requirements into technical roadmaps, break down work into deliverable milestones, and coordinate execution. This role also involves mentoring engineers, establishing best practices for code quality and DevOps, and leading incident response and performance optimization efforts. The Lead Engineer is expected to proactively identify technical risks and opportunities, contribute to long-term strategy, and help grow a strong, inclusive engineering culture.
Qualifications
Strong software engineering skills in one or more modern programming languages (e.g., Python, TypeScript, Go, or similar), including experience building and maintaining production systems.
Experience with system and application architecture, including designing distributed systems, APIs, and data pipelines for scalability and robustness.
Proficiency with cloud platforms and DevOps practices (e.g., containers, CI/CD, infrastructure-as-code, monitoring and observability tools).
Background in or exposure to machine learning, AI platforms, or data-intensive applications, and comfort collaborating with research or data science teams.
Demonstrated ability to lead projects end-to-end, mentor other engineers, and set engineering standards and best practices.
Strong problem-solving, communication, and documentation skills, with the ability to work effectively in a remote, cross-functional environment.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; prior experience in a technical lead or staff-level role is highly beneficial.

Work arrangement
Yes

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