Software Engineer - AI

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.