As an AI Engineer, you'll be a vital part of our team, working together to build Donna, our perfect AI-sales assistant for field sales reps. Donna empowers them to focus on what they do best - selling.
Expect to navigate a wide range of challenges including developing a scalable LLM framework, fine-tuning and personalising prompt engineering, orchestrating multiple AI agents, and implementing advanced RAG systems. Your goal will be to craft the optimal user experience with our LLMs.
You’ll join our ambitious Donna team as one of the first hires. This means you’ll have the opportunity to be part of an early-stage start-up and to learn from experienced serial entrepreneurs.
If you're ready to embark on an exciting journey from the early days and make a significant impact in a growing team with global ambitions, Donna is the place for you!
What you’ll be doing
A non-exhaustive list of features we could use your help with:
- Leveraging best practices and industry-leading tools and technologies to solve real-life problems with LLM solutions.
- Fine-tuning and optimising prompting techniques (like prompt-chaining) to improve the accuracy and relevance of responses for our users.
- Integrating and synthesising a massive amount of contextual data (CRM data, call recordings, emails) to enrich the LLM context and provide more accurate and personalised outputs.
- Developing algorithms in multilingual conversational systems.
- Developing and enhancing RAG systems to ensure high-quality and contextually appropriate responses.
- Building out an MLOps and ML Observability suite to ensure the output of our models maintains a high standard of quality, accuracy, and relevance.
We believe in shipping fast to gather feedback quickly from our customers. We like to keep things simple, so we leverage as much as possible the services offered by key vendors.
You’ll report directly to our co-founder & CTO, but you’ll work together with other departments (and customers) in detailing the requirements of features and make trade-offs together in order to maximise value while minimising complexity.
- We’re looking for someone passionate about LLMs, with at least 4 years of working experience and a strong desire to become an expert in the field.
- You have experience working on a software product in a technical role (e.g. software or full-stack engineer).
- You have experience with our stack: Typescript & Node.js
- You are output-driven and you are not afraid to critically evaluate data and results.
- You’re able to break down big initiatives into small tasks, allowing for re-prioritization as important opportunities arise.
- Personal growth is important to you, and you have the ambition to thrive in a start-up culture.
- We have global ambitions, so fluency in English is a must.
- Ability to work with us in the Ghent office; this is not a remote position.
What you can expect
- Impact: Be part of an early-stage rocket ship startup where your contributions directly shape the company’s success. We’re moving fast, with crazy clients already signing up, so every line of code and every idea you bring has immediate impact.
- Growth: Join a rocket ship at the scale-up stage: learn from seasoned entrepreneurs and grow your career as we expand globally. The speed at which we’re onboarding clients means you’ll learn more in months than most do in years.
- Culture: Join a collaborative and supportive team that values innovation, creativity, and fun.
- Ecosystem: As a part of the Donna team, you’ll become a part of the Ghent tech ecosystem, and a member of the StarApps and Wintercircus ecosystem.
Next to the above very awesome perks, we offer a competitive salary with the following benefits:
Macbook
Healthcare benefits plan* A membership to the Collective (Wintercircus)
Meal vouchers
Annual company retreat
Free office snacks
Team drinks and events (like teambuildings, dev days, our off-site hackathons)