Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (AI): Building and optimizing state-of-the-art LLM-powered agents at scale with an accent on multi-agent orchestration, retrieval pipelines, and evaluation frameworks. Focus on designing production-grade AI systems that ensure measurable, trustworthy outputs while optimizing for latency and cost.
Location: Must be based in or able to work from Vancouver, Toronto, or London. This is an office-first hybrid role requiring presence in the office on Mondays, Wednesdays, and Thursdays.
Compensation: CA$140,000 – CA$196,000 + Equity
Company
is an AI-first product company helping organizations generate market, competitor, and buyer insights through an automated, unified platform.
What you will do
- Design and ship backend systems for agentic workflows, including retrieval pipelines and multi-step architectures.
- Optimize LLM-powered workflows for accuracy, latency, and reliability in production.
- Develop and operate evaluation frameworks to measure relevance and task success at scale.
- Build human-in-the-loop systems to ensure AI agents remain trusted and accurate over time.
- Collaborate with product and data teams to align technical direction with customer outcomes.
- Evaluate and integrate advancements in LLMs and retrieval architectures to keep the platform on the frontier.
Requirements
- Must be located in or able to work from Vancouver, Toronto, or London.
- Proven experience building and operating production-grade backend systems.
- Experience building or evaluating agentic/LLM-powered systems (RAG, multi-step workflows).
- Strong proficiency in Python and backend frameworks.
- Experience with search/retrieval systems (e.g., Elasticsearch, Pinecone, PGVector).
- Experience with cloud infrastructure (AWS, GCP, or Azure) and handling high-scale data volumes.
Nice to have
- Experience designing multi-agent systems or complex orchestration workflows.
- Contributions to AI/ML open-source projects.
- Strong understanding of ML fundamentals (precision, recall, bias-variance tradeoff).
Culture & Benefits
- Comprehensive health and dental coverage starting on Day 1.
- Employee Stock Option Plan participation for all full-time employees.
- Flexible vacation policy.
- AI-first culture with encouragement to use AI tools to accelerate development.
- Office-first hybrid environment with dog-friendly spaces in Vancouver and Toronto.
- Regular social connection events and annual company-wide kickoff.
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