Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (AI): Building and optimizing foundational matching technology and AI systems for enterprise revenue intelligence with an accent on large-scale data processing and LLM integration. Focus on designing scalable microservices, developing matching algorithms, and implementing agentic AI to turn billions of enterprise signals into actionable insights.
Location: Remote (Must be based in Canada)
Company
is an AI-driven platform that helps companies understand their revenue business by analyzing massive amounts of enterprise data to surface risks and opportunities.
What you will do
- Design and implement core backend services and data pipelines for the Matching team.
- Conduct data-driven research leveraging big data and data science toolsets.
- Develop scalable systems and microservice architectures that power the AI engine.
- Ensure system reliability through robust alerting, dashboards, and runbooks.
- Provide comprehensive test coverage using TDD, unit, and integration testing.
- Collaborate with cross-functional engineering teams to deliver new features based on business needs.
Requirements
- Must be based in Canada.
- 5+ years of professional experience with backend systems in enterprise environments.
- 3+ years of experience in data analysis, data science, or ML.
- 2+ years of proficiency in Python, Scala, or Java.
- Experience with large-scale data processing using Spark.
- Strong understanding of SOA, microservices, and event-driven architecture.
Nice to have
- Experience with AI development tools, specifically agentic AI.
- Experience developing systems based on Large Language Models (LLMs).
Culture & Benefits
- High degree of ownership and autonomy in taking ideas from conception to shipping.
- Work within a highly independent and autonomous engineering team.
- Opportunity to work with a vast array of cutting-edge technologies.
- Exposure to complex challenges in reasoning, search, and ranking at scale.
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