Artificial Intelligence Engineer

Role Overview

DeepHow is hiring an AI Engineer to own the AI pipeline end-to-end and harden its production ML stack. This is a build-and-ship role focused on turning prototypes into systems that real users depend on, starting with MLOps and production deployment.

What You’ll Own

• AI pipeline: ingestion, processing, inference, and monitoring
• Production deployment & scaling of LLM, VLM, and speech models on GCP
• Latency, cost, and reliability optimization across the stack
• RAG pipelines, prompting, and evaluation frameworks
• Infrastructure and tooling that accelerate experimentation and shipping

Requirements

• 3–7+ years shipping ML/AI in production
• Strong Python and fluency in PyTorch or TensorFlow
• Hands-on experience with LLMs: prompting, fine-tuning, RAG, and evals
• Solid MLOps experience, including CI/CD for models, monitoring, and cost optimization
• Experience deploying on GCP or AWS (preferably GCP)
• Comfort with vector databases, embeddings, and retrieval systems
• Startup-speed execution
• Bachelor’s or master’s in CS/engineering (or equivalent practical experience)

Nice to Have

• Video, speech, or multimodal AI experience
• Familiarity with MLflow, Kubeflow, Airflow (or similar)
• Experience in manufacturing or frontline workforce contexts
• Experience shipping AI features in a SaaS product

Location / Work Style

• Remote (preferred Dallas, United States)