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.
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.
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.
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.
Skills Required
- Proven experience building and shipping AI or ML products
- Experience with LLM-based systems (preferably)
- Deep understanding of modern ML stacks: model APIs, vector databases, prompt/runtime design, evaluation frameworks
- Strong coding skills in Python, Go, or TypeScript
- Familiarity with cloud infrastructure (GCP or AWS) and CI/CD for ML systems
- Data pipeline design and production deployment experience
- Ability to work across model lifecycle: research, prototyping, deployment, monitoring, iteration
- Strong communication and cross-disciplinary collaboration skills
What We Do
Uplimit is an AI-native learning platform that revolutionizes professional education and upskilling at scale. The company provides an end-to-end solution using AI to supercharge course authoring, learner support, and management. By delivering personalized instruction, practice, and feedback, Uplimit helps organizations and individuals achieve exceptional learning outcomes and break the traditional trade-off between cost and impact in online education.
