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Crimson EducationSource d’offres vérifiée

Senior Software Engineer - AI Agent

Offre en anglais
  • Canada
  • Télétravail
  • Publié 8 sept. 2026
  • 1 poste

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Type d’emploi
Temps plein
Niveau d’expérience
Expérimenté · 5+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level

Résumé du poste

Build the core product and system architecture for a next-generation education AI agent, focusing on agentic workflows and robust backend foundations. Partner with product and design teams to transform ambiguous ideas into production-ready AI-native products.

Détails du poste

Crimson Education is the world’s leading college admissions consulting firm, with over 1,490 Ivy League offers and 2,410 to the US Top 15. We help ambitious students gain admission to the world’s top universities through expert-led guidance and proven, data-driven strategies. Crimson students are 7x more likely to get into the Ivy League than their peers. We were recently featured on the front page of the Wall Street Journal. Crimson is the only college admissions consultancy that brings together: Former Ivy League and Top 20 admissions officers to rigorously review and refine applications Professors and PhD teaching fellows from leading universities to guide students through original, independent research — with pathways to selective peer-reviewed publication or conference presentation Past ISEF winners and judges who coach students to compete for state, national, and international science fair awards Capstone project mentors who help students design and scale leadership initiatives with real-world impact, measurable outcomes, and credible external validation We’re backed by leading VC firms, including Tiger Global, Heal Partners, IceHouse Ventures, and Movac, and recently closed a USD $40M Series D funding round at a USD $640M valuation. We now operate across 21 markets worldwide, including the US, Canada, UK, Singapore, Japan, Hong Kong, Australia, and New Zealand. The Role What are the main responsibilities for this role? Build the core product and system architecture for a next-gen education agent Design and ship agentic workflows across planning, tool use, memory, evals, feedback loops, and production operations Own difficult engineering problems end to end, from prototype to production Build robust backend and infra foundations for AI-native products Work across the stack when needed, but go deep on backend systems and infrastructure Partner closely with product and design to turn ambiguous ideas into working products fast Push the team toward higher engineering leverage, better abstractions, and faster iteration loops What skills and experience are required? Hardcore technical ability Strong full-stack skills, with especially deep experience in backend and infrastructure engineering The kind of engineer people describe as a 10x builder Strong product instinct, not just implementation ability Comfortable operating in ambiguity and moving with very high ownership Able to design clean systems, make sharp tradeoffs, and execute fast without lowering the bar Deep curiosity about AI agents, developer tooling, evals, orchestration, and how modern engineering is changing Real excitement for exploring and applying Harness Engineering, not just reading about it Strong Plus If You Have Experience building AI agents, copilot-style products, workflows, or internal automation systems Experience with LLM application infrastructure, eval systems, retrieval, tool execution, or observability Experience building developer platforms, infra products, or backend-heavy systems at scale Startup experience, especially 0-to-1 product building Interest in education, learning systems, or personalized AI products Why work for Crimson? Rapidly growing start up, with a flexible working environment where you will be empowered to structure how you work Limitless development and exposure - our internal promotions/role changes made up 33% of all recruitment last year $1000 individual training budget per year, we love to ‘Level Up’ (it’s one of our core values)! Psychologist on staff Insightful fireside chats and workshops to help support our high-performing and ambitious team Radical Candor is a feedback approach we live by We’re a global player with 28 markets (and growing) across the globe. Most roles have the option to work from one of our many offices or remotely! If you're passionate about growing in a fast-paced, collaborative environment and want to work with cutting-edge technology, then we'd love to hear from you! Please keep an eye on your spam/junk email folder for correspondence from Team Tailor.

Ce que vous ferez

Build the core product and system architecture for a next-generation education AI agent, focusing on agentic workflows and robust backend foundations. Partner with product and design teams to transform ambiguous ideas into production-ready AI-native products.

Exigences

Requires hardcore technical ability with deep experience in backend and infrastructure engineering and a strong product instinct. Preference is given to candidates with experience building AI agents, copilot-style products, or scaling backend-heavy systems in a startup environment.

Avantages

• Flexible working environment • Individual training budget of $1000 per year • On-staff psychologist • Fireside chats and workshops • Remote work options

Compétences indiquées

  • Software · Souhaitée
  • Budget · Souhaitée
  • Production · Souhaitée
  • collaborative · Souhaitée
  • Technical · Souhaitée
  • Training · Souhaitée
  • staff · Souhaitée
  • Teams · Souhaitée
  • Execution · Souhaitée
  • Development · Souhaitée
  • Flexible · Souhaitée
  • email · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Backend Engineering
  • Infrastructure Engineering
  • Full-stack Development
  • AI Agent Design
  • System Architecture
  • LLM Application Infrastructure
  • Agentic Workflows
  • Retrieval
  • Tool Execution
  • Observability
  • Product Instinct
  • Developer Tooling
  • Orchestration
  • Evaluation Systems
  • 0-to-1 Product Building

Domaines d’emploi

  • Software
  • Technology
  • Engineering
  • Education
  • Data & Analytics

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