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Open nowPosted 916 days ago

Software Engineer - AI

Uplimit2 open roles

Pay
$120,000 – $190,000 a yearly
Where
Canada
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Your applicationOpen nowSoftware Engineer - AIUplimit · Canada

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Uplimit's own form.

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 916 days ago

The posting

A billion jobs will be reshaped by AI. The way we learn and reskill must evolve just as fast. Uplimit is an AI-native learning platform built from the ground up to power continuous learning with generative AI — where every piece of content, feedback loop, and learning experience is created, adapted, and delivered by AI.

We’re rethinking education from first principles — from course creation and assessment to motivation and mastery — using LLMs, fine-tuned models, and dynamic orchestration systems. As an AI Engineer, you’ll design and ship the intelligence layer behind the product.

Responsibilities 👩🏽‍💻👨‍💻

  • Build and ship LLM-powered systems that drive learning: adaptive content generation, evaluators, tutors, motivation engines, and analytics.
  • Design and maintain AI pipelines for prompt orchestration, retrieval-augmented generation (RAG), embeddings, fine-tuning, and evaluation.
  • Prototype, evaluate, and productionize models for diverse modalities — text, code, and data tasks — optimizing for accuracy, latency, and cost.
  • Work on features like AI tutors, automated course creation, practice engines, and personalized learning journeys.
  • Define best practices for AI safety, evaluation, observability, and feedback loops within the product.
  • Collaborate with product, design, and full-stack teams to turn raw AI capabilities into elegant user experiences.
  • Continuously measure and improve system performance using real learner outcomes and engagement data.

Background 🔰

  • Proven experience building and shipping AI or ML products (preferably LLM-based).
  • Deep understanding of modern ML stacks — model APIs, vector databases, prompt/runtime design, evaluation frameworks.
  • Strong coding skills in Python, Go, TypeScript, or similar.
  • Familiarity with cloud infrastructure (GCP/AWS), CI/CD for ML systems, and data pipeline design.
  • Ability to translate model capabilities into real user impact — pragmatic, fast, and experimental mindset.
  • Comfort working across the full lifecycle: research, prototyping, deployment, monitoring, iteration.
  • Strong communication and collaboration skills across disciplines.

Why Uplimit?

You’ll help define how AI teaches, guides, and evaluates human learning — at scale. You’ll work with engineers and educators who care about building a future where AI doesn’t just automate, but amplifies human potential. You’ll ship fast, experiment responsibly, and leave a mark on how the world learns.

Details 📍

  • Location: San Mateo, CA (hybrid). Remote across US & Canada considered.
  • Compensation: Base salary between $120,000 – $190,000, depending on experience, plus equity and full benefits.
  • Equal Opportunity: We welcome applicants from all backgrounds and experiences.
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