Staff AI Engineer

March 20

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Procurify

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Procurify is a complete and user-friendly procure-to-pay solution designed to streamline and automate purchasing and accounts payable processes. Its platform provides tools for handling purchase requests, expense management, approvals, purchase orders, contract management, vendor management, and budget management, among other functionalities. Procurify aims to help organizations control and reduce costs, drive operational efficiencies, and improve spend management. The software integrates with popular systems like QuickBooks, Netsuite, and Microsoft Dynamics 365, and offers both physical and virtual spending cards. With features tailored to various industries like technology, healthcare, biotech, and education, Procurify seeks to minimize spend and maximize efficiency for its clients worldwide.

Procurement Process Management • Purchase Order Approval Workflow • Streamlined Purchasing Processes • Requester & Approver Management • Procure to Pay Cycle

51 - 200 employees

Founded 2013

☁️ SaaS

💸 Finance

🏢 Enterprise

📋 Description

• Procurify is looking for an engaged and curious Staff AI Engineer to spearhead our AI and ML efforts. • This is far from a typical engineering role - it’s an opportunity to build our machine learning and AI function from the ground up. • You will be at the forefront, developing cutting-edge solutions to automation procurement workflows. • Beyond tackling fascinating machine learning challenges, you will work alongside our data engineers to automate workflows with AI. • If you’re passionate about diving deep into data, revel in both the glamorous and gritty aspects of ML, and want to make a significant impact on our product, this role is for you. • Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience. • Design, create, evolve, and maintain scalable and efficient machine learning systems including data pipelines, model training, deployment, and monitoring frameworks. • Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models. • Build complex, reusable architectures for services and systems using well-accepted design patterns to support iterative development and future scaling. • Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction. • Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning. • Collaborate with leadership to shape the vision for machine learning and AI at Procurify, providing valuable insights and guidance on technological strategies and opportunities. • Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform. • Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability. • Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

🎯 Requirements

• 6-7+ years in a Machine Learning or Data Scientist role, including 2+ years experience in LLMs. • Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML systems from the ground up. • Demonstrated experience building AI apps in production. • Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn, Pandas). • Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures and tools (Llamaindex, vector databases, Transformers, Langchain etc). • Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge. • Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering. • Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders. • Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy. • Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress. • Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis. • Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation. • A strong driver to stay ahead of the curve with GenAI research and apply those insights to build real-world applications.

🏖️ Benefits

• Flexible working: We’re a remote-first organization with flexible working hours. Work anywhere from within Canada! • Unlimited responsible time off: Work hard, play harder. All team members can take advantage of our unlimited responsible time off policy. • Extended health benefits: We prioritize our team’s health and well-being. We offer a competitive health, vision, and dental package along with an Employee Assistance Program (EAP), and a health and wellness spending account. • Community initiatives: We have a strong commitment to giving back to our communities, including regular volunteer days, our Donate Your Day program, and education lunch and learns. • Stock options: Everyone has a chance to own a part of Procurify with our competitive stock program. • DEI initiatives: We regularly run a diversity, equity, and inclusion roundtable where we host guest speakers and tackle the topics that matter.