AI Engineer, Computer Vision

Remote-first – Canada (CT, ET, AT)

$130,000 - $170,000 + equity

Your opportunity

Our client is a well-funded, seed-stage AI startup that builds agents for the factory floor. They develop and distribute a software-first agent layer that plugs into the cameras and machines factories already have. Their models run and act at the edge so agents can see, decide, and act in real time. Events and metrics flow into a dashboard that provides plant teams immediate visibility. They’re approaching a large (~$14B) and underserved market with a disruptive, asset-light alternative to hardware-heavy robotics and batch analytics and they’ve already found early traction with clients in the food & beverage, pharma/cosmetics, and materials processing verticals.

As an AI engineer you’ll bridge the gap between academic research and industry impact. You’ll be joining a flat, dynamic environment in the midst of its scale-up phase that’s led by an accomplished ex-Deepmind researcher with specialization in reinforcement learning, deep learning and robotics. Your role will centre around developing, training and tuning computer vision models responsible for a significant jump in productivity and efficiency. You’ll work across the full stack of applied computer vision from dataset curation through training, benchmarking, drift monitoring and closing the loop with updates.

The company closed a $13.9M CAD seed round in March of 2025 and are scaling R&D and delivery to meet accelerating demand, with headcount tracking to double by year-end.

Key responsibilities 

  • Vision model development: Design, train, and evaluate classification, detection, and segmentation models for manufacturing use cases

  • Cross-functional collaboration: Engage with the leadership team and broader R&D organization to ask novel questions and find solutions to overlooked problems

  • Collaboration, documentation & field support: Work with cross-functional teams, maintain clear processes for reproducibility, and support in-field operations

Your know-how

  • You have an academic research background in machine learning, computer vision, and/or artificial intelligence (likely, but not necessarily, reflected in a graduate degree in these fields)

  • You have experience shipping machine learning and/or computer vision models to production

  • You have experience collaborating effectively within cross-functional delivery teams

  • You are a contagiously curious person with entrenched learning habits

It’s a bonus if

  • You have 3+ years of experience solving manufacturing and/or industrial automation problems with software solutions

  • You have deep expertise in computer vision, robotics, or manufacturing field deployments

  • You have production experience deploying AI models at the edge

  • You have experience scaling an AI and/or B2B SaaS venture

  • You have experience assembling, organizing and managing cross-functional delivery teams

  • You have fluency in engineering methodologies and the project management tooling that supports them

  • You are predisposed to mentorship and crafting a culture of continuous improvement

Tech stack

  • Operating system: Linux

  • Containers: Docker

  • GPU/acceleration: CUDA, TensorRT, ONNX, OpenVINO

  • ML/DL frameworks: PyTorch, TensorFlow, Keras, scikit-learn

  • Scientific computing: NumPy, Pandas

  • Computer vision: OpenCV

  • Cloud providers: AWS, Azure, GCP

  • Edge platforms: NVIDIA Jetson, Raspberry Pi (ARM)

  • Cameras & vision I/O: GenICam, GigE Vision, USB3 Vision

  • Backend: Python (Flask, FastAPI), TypeScript/Node.js

  • Frontend: TypeScript/React

  • Orchestration & compute: Kubernetes, on-prem bare metal, VMs

  • Messaging & IoT: MQTT, HTTP/REST, RabbitMQ, Apache Kafka

  • Databases & storage: SQL, InfluxDB, MongoDB

  • Monitoring, observability & logging: Prometheus, Grafana, ELK

  • Industrial automation: PLC integration; protocols: Ethernet/IP, Modbus, Profinet, OPC UA

Interested in learning more?

Please upload your resume or a .pdf export of your LinkedIn profile using the following “Apply Now” button, or send your resume or LinkedIn profile URL to talent@lutrapartners.com with “AI Engineer, Computer Vision” as the subject line. One of our talent partners will be in contact shortly.

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