Get to know us

Do you want to help us shape what the future of work will look like and how it will best embrace our life's aspirations? If this sounds like a journey you want to embark on, we may have the right role for you!PayFit is an intuitive cloud-based payroll and employee management solution designed specifically for SMBs. Since 2015, we have set ourselves a mission to simplify payroll for SMBs and enable employers and employees to grow together. We are a European company operating from 3 main countries (France, Spain, and the UK) where we are supporting over 18,000 clients.

Creating a fulfilling work environment and culture is also a core mission at PayFit, and our day-to-day work philosophy is reflected in our four values:

Care: We genuinely care for others whoever they are, whatever they think.

Excellence: We aim to improve and achieve better results every day.

Humility: Staying humble and exchanging transparent feedback helps us to grow and improve.

Passion: We are the architects of PayFit's success.

A key part of our culture, and essential for our success, is also improving the diversity of our teams and building an inclusive culture where you can be yourself at work.

This is why our recruitment focuses on the skills you demonstrate, and not only on your academic background or previous professional experiences. At PayFit we understand that you can gain applicable skills through a variety of life experiences and we are interested in knowing them, too.

Location :
The position is based in France and Spain.


About the role :

With a strong commitment to innovation and data-driven decision-making, we are seeking a Senior AI Engineer to spearhead the integration of machine learning capabilities into our Selfcare team. As a pivotal member of our team, you will play a crucial role in shaping the future of our product and services.

As a Senior AI Engineer, Your role will involve initiating a transition towards leveraging data to enhance our product offerings. You will be embedded in the Payfit copilot product team, mentor colleagues in ML concepts, and contribute to the expansion of ML and LLMs at the core of our product.

Key responsibilities : 

- Participate in the team day to day development

- Technical Leadership: Lead the design, development, and deployment of lean machine learning solutions that bridge the gap between data insights and product enhancements. Serve as the subject matter expert for ML-related initiatives within the context of the selfcare team.

- Cross-functional Collaboration: Collaborate with team members, product managers, and engineers as well as other functions (customer support or sales) to identify opportunities for integrating machine learning into the product. Work closely with stakeholders to define clear goals and requirements for ML projects.

- Lean Methodology: Embrace a lean approach to machine learning, focusing on delivering value quickly and efficiently. Iterate on models, pipelines, hypotheses, and experiments to achieve optimal results with minimal waste.

- AI workflow & Finetuning: Design and build robust datasets and predictive models (including LLMs) that drive actionable insights and customer value. Leverage your expertise to identify and use the right foundational models, algorithms while ensuring scalability and maintainability.

- Innovation and Research: Stay up-to-date with the latest advancements in AI. Experiment with new methodologies and technologies, advocating for their integration when they align with business objectives.

- Pipeline Deployment and Monitoring: Design and implement data pipelines that bring machine learning models into production, ensuring their reliability and scalability. Establish robust monitoring processes to track performance, detect anomalies, and facilitate timely adjustments.

- Mentorship and Training: Take an active role in mentoring and upskilling your team members on lean machine learning concepts, tools, and techniques. Help foster a culture of continuous learning and growth within the team.

- Domain Driven Design (DDD) Bonus: If you have experience working with Domain Driven Design principles and software, you'll have the opportunity to apply this knowledge to enhance the alignment between our machine learning initiatives and our domain-specific requirements.

The role is for you of you have : 

- Experience: 5+ years of hands-on experience in AI Engineering and data science roles, with a proven track record of delivering impactful AI solutions.

- Technical Proficiency: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python). Experience with data preprocessing, feature engineering, model training, LLM usage , and deployment. Experience with Javascript and typescript in the backend environment is a bonus.

- Communication Skills: Communication skills to effectively collaborate with cross-functional teams, mentor colleagues, and drive projects to success.

- Domain Knowledge: Familiarity with the payroll or financial industry is a plus, but not mandatory.

- Problem-solving: Ability to analyze complex business problems, identify opportunities for lean AI-driven solutions, and implement them effectively.

If you think you would be a good fit even if you don't meet 100% of the requirements, we would love to hear from you!

Your future team :

The Selfcare team at PayFit is responsible for building and maintaining the Copilot chat feature, which provides customer support through an AI-powered chatbot. The Copilot chat handles customer requests based on product data, customer success data, and overall product knowledge. 

The team also focuses on improving the agent experience and developing an intelligent ticket routing system. By leveraging their expertise in lean AI, the Selfcare team aims to enhance the customer support experience and drive product innovation.

Why Join Us: Joining our team means being part of a dynamic and innovative environment where your expertise in lean AI will shape the future of our product. You will have the opportunity to make a substantial impact, grow professionally, and contribute to meaningful projects that drive the company's success.

Interview process :

1. Initial Discovery Call: A Talent Acquisition representative will assess your qualifications and fit for the role - 30/45min 

2. Interview with the Engineering Manager of the Selfcare team - 45min

3. Technical Interview with 2 team members – 90min

4. Interview with Engineering Director - 45min

5. Interview with members of the Selfcare team - 30min

👉 Background Check (ISO27001 certification): identity, diploma, and past professional experiences will be checked after the offer.

What we offer

Flexibility: We believe it is key to produce your best work and to be fulfilled. We therefore offer the possibility to work away from our main offices, within France/UK/Spain; as well as abroad for a defined period. Further requirements may apply depending on the role and your overall experience.
Learning & Development: In PayFit we have a great learning platform where you can learn new skills every day with the support of our company. We also have English language courses to improve your business communication vocabulary and get to the next level.
Career Development: We want you to progress and be free to choose which direction you want to grow. There are also opportunities for internal moves.
Health promotion: A Gym at our Paris office and a GymLib subscription with preferential rates. 4 paid sessions with a mental health practitioner and online support with Moka.Care.
Health insurance: Mutuelle Henner (60% covered by PayFit).
Transportation: 50% covered for your public transportation card for those living within Ile de France. A budget to travel to the office for those who live outside of it.
Meals: A restaurant card with our partner Swile ( 9€ per workday).
Home office budget: 150€ per year to help you get set up in the best conditions. A MacBook is our standard working tool.
Parental support: 20 weeks maternity leave covered by PayFit and 4 weeks leave for the second parent.
Time off: 25 days of holidays + RTT days (depending on the contract).

Disability Inclusion: All of our positions are open to any person living with a disability. To guarantee equal treatment and opportunities, we will take, based on individual needs, appropriate measures to adapt the work conditions of PayFiters with disabilities, and if needed also during the recruitment process. Please let us know what you need and we will do our best to accommodate!