Senior Staff Software Engineer, AI Foundations (Namer) at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

310000.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Infrastructure Engineering, LLMs, AI Integration, System Reliability, Observability, Technical Leadership, Mentoring, Code Review, Problem Solving, Documentation, Tooling, Collaboration, APIs, Experimentation, Deployment

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff Software Engineer, AI Foundations in North America. As a Senior Staff Software Engineer on the AI Foundations team, you will shape the architecture and systems that power advanced AI capabilities within a browser environment. You will design and operate infrastructure for prompt engineering, model evaluation, and orchestration of AI services, enabling rapid prototyping and production-quality AI-driven features. This role demands deep technical expertise in backend and infrastructure engineering, as well as hands-on experience integrating LLM outputs into scalable applications. You will collaborate closely with ML engineers, product teams, and infrastructure teams to ensure reliability, observability, and performance across complex systems. The position offers the opportunity to influence AI product innovation, mentor other engineers, and contribute to high-impact projects in a fast-paced, remote-first environment. Accountabilities: Own and evolve AI Foundations systems that integrate LLM outputs into production product experiences. Build and operate evaluation and prompt engineering infrastructure to streamline experimentation and deployment. Orchestrate LLM usage across services, optimizing for reliability, streaming, error handling, and cost efficiency. Collaborate with product and infrastructure teams to define requirements, SLAs, and APIs for AI features. Develop workflows, documentation, and tooling to enable teams to ship AI-driven features confidently. Lead high-impact engineering projects, mentor engineers, and enhance system reliability and observability. Manage planning and on-call responsibilities for AI Foundations services as needed. 8+ years of experience building and leading high-quality software systems, particularly in backend or infrastructure engineering. Hands-on experience with LLMs and integrating AI outputs into production systems. Proven ability to design, ship, and operate large-scale, reliable systems that support rapid iteration. Strong technical leadership and mentoring experience, with excellent code review and communication skills. Experience with complex codebases and improving system maintainability, debuggability, and understandability. Pragmatic problem-solving mindset and ability to work in fast-paced, startup-like environments. Must have 4+ hours overlap with North American Eastern Time Zone team members. Competitive total compensation ($250,000 – $310,000 USD annual range, including salary, equity, and benefits). Remote-first work environment with optional office presence in New York, Williamsburg. Comprehensive perks supporting personal well-being, family, and community engagement. Opportunities to work on cutting-edge AI and browser technology in a high-impact, collaborative team. Professional growth and mentorship within a distributed, innovative engineering culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps—such as interviews or additional assessments—are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Own and evolve AI Foundations systems that integrate LLM outputs into production product experiences. Collaborate with product and infrastructure teams to define requirements, SLAs, and APIs for AI features.