Mid-Level AI & Machine Learning Engineer

Who we’re looking for

As a Mid-Level AI & Machine Learning Engineer, you will be joining a team of talented and passionate engineers focused on creating the next generation of AI features to make Fieldwire the World’s best Construction Management Platform! Your role will focus on adapting existing models, running models in our own infrastructure, as well as extracting and categorizing meaningful information from complex documents, PDFs and images. Your work building core AI features and services will directly impact all of our 1 million end users. If you have strong experience in delivering impactful AI solutions while ensuring applications remain secure, scalable, and performant, Fieldwire wants to talk to you!

What you’ll be doing

• Architect, build, and maintain AI foundations across the full stack, embedding them into core platform capabilities
• Evaluate & select open-source models, adapt them to our domain specific cases through fine-tuning, transfer learning and lightweight training
• Deploy and operate models within our own infrastructure, including GPU-backed environments with a strong focus on inference performance, resource utilization, throughput & latency
• Develop solutions for image understanding, visual object detection, classification and segmentation
• Extract and interpret information from PDFs, scanned documents, images, and other complex visual content, combining OCR, document layout analysis, and multimodal models
• Apply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows, leveraging context to power smarter product experiences
• Debug production issues across services and multiple levels of the stack
• Work to improve our Engineering standards, tooling, and processes

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent work experience
• 3+ years experience in a Fullstack, Backend, AI Engineering, or Machine Learning role
• Strong practical experience in machine learning, including training, evaluating, and deploying models
• Hands-on experience with computer vision and image-processing techniques
• Knowledge of modern toolchain used for developing high-quality applications
• Expert at writing clean, well-tested, and modular code

Bonus Qualifications

• Experience working with pretrained models and adapting them to domain-specific tasks through fine-tuning and transfer learning
• Understanding modern model architectures, including transformers and vision-language models
• Experience with image and document processing, including OCR, document layout analysis, or extracting structured information from PDFs and images
• Experience building production systems preferably in Rust, Ruby on Rails or Angular