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.

• 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.