Culture
Why ENLIVEN
AI-Native Engineering
We ship production ML daily — pose estimation, LLM orchestration, adaptive training systems.
Remote-First, EU-Based
Work from anywhere. Async by default, overlap hours 10–14 CET.
Real-World Impact
Your models run on millions of devices — every inference improves someone’s health.
Research to Production
We don’t publish papers and move on. We ship, measure, and iterate in production.
Opportunities
Open Roles
12 positions across 5 teams
ML & Vision
3 rolesSenior ML Engineer — Pose Estimation & Form Tracking
Own the on-device pose estimation pipeline powering real-time exercise form analysis across iOS and web. Optimize inference latency, improve keypoint accuracy, and ship models that run at 30fps on consumer hardware.
Senior Computer Vision Engineer
Build the vision systems behind ML Vision form tracking — body segmentation, rep counting, depth estimation, and exercise classification. You’ll work across CoreML, TFLite, and ONNX runtimes.
ML Infrastructure Engineer
Design the ML platform that powers training, evaluation, and deployment of all models. Model registry, A/B testing infrastructure, feature stores, and CI/CD for ML. AWS SageMaker, Lambda, and edge deployment.
AI & LLM
2 rolesSenior LLM Engineer — AI Specialist Platform
Architect and optimize the orchestration layer behind 12 AI wellness specialists. Fine-tuning, prompt engineering, RAG pipelines, and context management at scale. You’ll own inference cost, latency, and quality.
Senior AI Engineer — Adaptive Training Systems
Build EATS (Enliven Adaptive Training System) — the intelligence layer that personalizes every workout, adjusts difficulty in real time, and learns from each session. Reinforcement learning, recommendation systems, and time-series modeling.
Engineering
3 rolesSenior iOS Engineer — ML Integration
Ship the native iOS app with deep ML integration — CoreML model execution, ARKit body tracking, camera pipeline optimization, and real-time UI rendering of pose overlays. SwiftUI, Combine, and performance profiling.
Senior Android Engineer — ML Integration
Build the Android app with on-device ML at its core — TFLite and MediaPipe pose estimation, CameraX pipeline, real-time overlay rendering, and performance optimization across the Android device ecosystem. Kotlin, Jetpack Compose, and NDK.
Senior Full-Stack Engineer
Build and scale the web platform (Next.js, AWS) that serves millions of users. API design, real-time features, DynamoDB at scale, and the frontend that brings AI specialists to life.
Design
3 rolesSenior Product Designer — AI Interfaces
Design the interfaces where humans interact with AI specialists. Conversation UX, real-time feedback overlays, adaptive UI, and data visualization for health metrics. Figma, prototyping, and strong systems thinking.
Senior UX Designer — Mobile Fitness
Own the end-to-end mobile experience across iOS and Android — workout flows, real-time coaching overlays, specialist conversations, and progress dashboards. User research, prototyping, and design systems. Must think in motion and interaction, not just screens.
Visual Designer — Brand & Marketing
Shape the ENLIVEN brand across every touchpoint — app store assets, social content, landing pages, and campaign creative. Strong typography, motion design, and the ability to make complex AI features feel approachable and aspirational.
Open Application
Don’t See Your Role?
We’re always interested in hearing from talented people. Send your resume and a note about what excites you about ENLIVEN AI.
Or email us directly at hello@enliven.ai
Get in Touch