Staff AI Engineer

Staff AI Engineer

Procurify is the AI-enhanced procurement and AP automation platform for the mid-market. We make it easy for organizations to take control of spend and save money. We’re looking for a talented and team-driven Staff AI Engineer to join us on our journey.

ABOUT THE ROLE

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.  Everyone at Procurify is a team player. We’re seeking entrepreneurial people who are willing to challenge the status quo and contribute to larger strategic objectives.

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.

What you’ll be working on

• Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience.

  KPIs: User adoption, releasing automation features, efficiency. 

• Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks.
  KPIs: Model performance metrics (e.g. accuracy, precision, recall).

• 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 (e.g. OpenAI, Anthropic, open source models).

  KPIs: Accuracy, User adoption

• Build complex, reusable architectures for services and systems using well-accepted design patterns to support iterative development and future scaling.
  KPIs: Architectural documentation completeness, scalability metrics.

• Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction.
  KPIs: User engagement metrics, Satisfaction scores like NPS.

• Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning.
  KPIs: Successful implementation of features on time.

• Collaborate with leadership to shape the vision for machine learning and AI at Procurify, providing valuable insights and guidance on technological strategies and opportunities.
  KPIs: Alignment of AI projects with business goals.

• Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform.
  KPIs: Data quality metrics, successful implementation of features.

• Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability.
  KPIs: Time saved through automation, error reduction rates.

• Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.
  KPIs: Team skill development.

Who we’re looking for 

• 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.

WHY PROCURIFY?

Help us modernize spend management

Procurify is a remote-first company with a big heart and a strong ambition to modernize the way organizations manage business spend. We’re trusted by hundreds of companies around the world — across industries like biotechnology, education, health care, manufacturing, and software — to manage over $30B in spend. We recently closed $50M in Series C funding to help us strengthen our core offering, launch new payment capabilities, and provide customers with an AI-enhanced procure-to-pay experience. Read the press release here.

Be empowered to do your best work

We’ve created an environment where personal and professional growth is a real priority. Some of the great perks we offer include:

• 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.

Work with an amazing team

We’ve welcomed team members who were boat captains, funeral directors, swing dancers, competitive gamers, plumbers, and novelists. Everyone has a story and we’re here to embrace them! 

LEARN MORE

Procurify is an Equal Opportunity Employer. We do not discriminate against any team members or applicants for employment because of race, color, disability, sex, age, national origin, religion, sexual orientation, or gender identity and/or expression.

If you feel like you don’t meet all of the requirements for this role, we encourage you to apply anyway. We know that feelings of imposter syndrome can get in the way of meeting incredible candidates, and we certainly don’t want those feelings to get in the way of meeting you! We really want to get to know you and why you're great for the role. Please avoid including your picture and age on your resume.

Apply online today and let’s start a conversation.

To learn more about Procurify, check out these resources:

• Get to know our team through our Meet Us Monday videos

• Check out what our customers are saying about us

• Learn more about our procure-to-pay platform