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Artificial Intelligence Engineer

DeepHow
United States$140k–$180kPosted Jul 27, 2026
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Artificial Intelligence Engineer

DeepHow United States

Artificial Intelligence Engineer

DeepHow United States 3 days ago Over 200 applicants

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DeepHow provided pay range

This range is provided by DeepHow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $180,000.00/yr

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Vivek Karuppuswamy

Vivek Karuppuswamy

CHRO l HR Executive | Industrial & Tech | Private Equity & Growth-Stage | Scaling & Transformation

Job Title: AI Engineer

Employment Type: Full-time

Location: Remote (Preferred Dallas)

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About DeepHow

DeepHow is a Physical AI platform for industrial manufacturing, pharmaceuticals and Electronics 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

  • Seniority level

    Mid-Senior level

  • Employment type

    Full-time

  • Job function

    Consulting

  • Industries

    Artificial Intelligence, IT System Custom Software Development, and Software Development

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