Private equity has always been a sought-after asset class due to its performance potential.

However, steep entry barriers, including high minimum investments (~€10m), hefty paperwork and the challenge of selecting the right fund have traditionally kept individual investors at bay, with access largely limited to big institutions or a select few.

Enter Moonfare.

We've made investing in private equity more accessible and straightforward with our fully digital investment platform. Now, qualified investors can access some of the most sought-after private market funds at minimums starting from €10,000*.

The diverse Moonfare team – which includes alumni from top private banks, groundbreaking startups and beyond – is united in pushing boundaries and redefining the private equity landscape.

Join us!

About the Role Moonfare is hiring a Senior Machine Learning Engineer to lead the development of advanced LLM-based capabilities across our platform. As a senior individual contributor, you'll partner closely with product and engineering teams to build intelligent automation, RAG pipelines, co-pilot assistants, and AI-native investor experiences.

This is a high-impact role in which you will take ownership of core technical decisions around model selection, architecture, and deployment, helping Moonfare transition into an AI-augmented fintech platform.

Responsibilities

• Design, develop, and maintain LLM-powered solutions for investor communication, support, and backend automation.
• Implement RAG architectures using embedding models, vector stores, and prompt chaining.
• Fine-tune open-weight foundation models or adapt pre-trained APIs (OpenAI, Anthropic etc.) for Moonfare-specific domains.
• Evaluate and integrate cloud-native AI services, particularly AWS Bedrock, Textract, and Transcribe.
• Work with Security and Compliance teams to ensure secure, ethical, and compliant use of generative AI.
• Design, develop, and maintain LLM-powered applications across internal automation and investor-facing use cases..

You Might Be a Fit If You

• Have 5+ years of experience in applied ML/AI roles, with 1-2 years building and integrating LLM-powered systems.
• Have hands-on experience with open-source LLM tooling (e.g. LangChain, LlamaIndex, Hugging Face), as well as cloud-native stacks (e.g. AWS AI services).
• Are comfortable building production-grade inference pipelines and managing prompt engineering at scale.
• Understand how to structure RAG systems using vector databases (FAISS, Weaviate, Qdrant).
• Have a strong software engineering foundation (Python, CI/CD, container orchestration).
• You are excited by the challenge of transforming our expert human judgment using AI-assisted systems
• Familiarity with AI risk, safety, and governance frameworks - especially in regulated industries highly desirable.

If you feel you do not meet all of the requirements, we still encourage you to apply! Our Values:

• Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests.
• We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes.
• We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed.

We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We're committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work.

• Minimum investments vary according to jurisdiction.

Apply now!