AI Engineer
Skydrop
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
Über
Employment Type: Full-time
Location: Remote (Preferred Dallas)
About DeepHow DeepHow is a Physical AI platform for industrial manufacturing, pharmaceuticals, and utilities that helps organizations capture expert know-how, turn it into dynamic work instructions, and drive verified execution on the front line.
The platform spans knowledge capture and sharing, AI-powered verification through Smart Compare and photo/video validation, and time and motion intelligence through guided workflows, SOP adherence, and real-time execution visibility. DeepHow supports customers from knowledge capture to verified execution, with strategic account expansion often centered on verification, AI-guided workflows, and time and motion intelligence.
The Role We’re looking for an AI Engineer to own our AI pipeline end-to-end. You’ll take over our production ML stack, harden it, and ship improvements fast. Day one, your focus is MLOps and production deployment making sure our models are fast, reliable, and cost-efficient at scale.
This is a build-and-ship role, not research. If you like turning prototypes into production systems that real users depend on, read on.
What You’ll Own
Our AI pipeline - ingestion, processing, inference, monitoring
Deployment and scaling of LLM, VLM, and speech models in production (GCP)
Latency, cost, and reliability optimization across the stack
RAG pipelines, prompting, and evaluation frameworks
Infrastructure and tooling to accelerate experimentation and shipping
Education & Experience
Bachelor’s or master’s degree in computer science, Engineering, or a related technical field (or equivalent practical experience)
3–7+ years shipping ML/AI in production
Strong Python; fluent in PyTorch or TensorFlow
Hands‑on with LLMs - prompting, fine‑tuning, RAG, evals
Solid MLOps chops: CI/CD for models, monitoring, cost optimization
Experience deploying on GCP or AWS (GCP preferred)
Comfort with vector DBs, embeddings, and retrieval systems
Startup‑speed execution
Nice to Have
Video, speech, or multimodal AI experience
MLflow, Kubeflow, Airflow, or similar
Manufacturing or frontline workforce context
Background shipping AI features in a SaaS product
Why DeepHow
Real AI problems with real users, not demos
Direct impact on frontline workers and industrial operations
Small team, high ownership, fast cycles
Shape the AI roadmap from the ground up
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.