AI/LLM Engineer, Merantix
+ Equity
Artificial intelligence investment platform
Posted today
Artificial intelligence investment platform
21-100 employees
Posted today
+ Equity
21-100 employees
Company mission
To harness the true potential of artificial intelligence and build the next category leaders.
Role
Who you are
- Knowledgable and experienced with building AI/LLM products: You have strong knowledge and experience of thinking through and building AI/LLM systems from prototyping and experiments through to deployment, evaluation, monitoring and improvement in production
- Practical Implementer: You are a ‘builder’ and aim to pragmatically integrate AI into real-world products, moving beyond research to create tangible, impactful solutions
- Personal agency and drive: must have personal agency, drive and ability to figure things out, learn and iterate to drive initiatives forward to success
- Innovative Thinker: You're driven by curiosity and continually experiment with new models, techniques and technologies in the rapidly evolving AI/LLM space
- Excellent Communicator: You have outstanding verbal and written communication skills in English, and can build strong relationships with internal teams and external partners
- Collaborative and Organised: You thrive in a dynamic, fast-paced environment, managing multiple projects while collaborating effectively with cross-functional teams to achieve success. Preferably with experience in start-ups
- Passion for ESG and Sustainability: You are motivated by using your skills to help address climate change and enthusiastic about building tools that help ESG and sustainability teams
- Minimum of 4 years of experience: As an AI Engineer, Machine Learning Engineer, AI/ML Product Engineer or related roles
- Fluency in python: Including strong proficiency with base python as well as modern frameworks (e.g. fastAPI)
- Experience with LLMs: Including core concepts around foundation models, prompt engineering and chains etc. as well as preferably some experience with LLM frameworks (e.g. Langchain). Experience using LLMs to build RAG systems and/or other real-world use-cases related to document processing would be a major bonus
- Experience with LLM evaluation: Including how to collect labelled data and systematically evaluate RAG and other real world LLM applications, preferably with experience in evaluation tools and frameworks (e.g. Langsmith)
- Experience with production grade applications: Including familiarity with software development tools and practices for production applications (e.g git, CI/CD, containerization) and preferably some experience with cloud infrastructure and deployment (e.g. GCP, Modal). Any experience with cost/latency implications of deploying LLMs at scale would be a major bonus
- Fluency in English: With the ability to clearly communicate complex topics to diverse stakeholders. Any other European language would be a bonus
- Understanding or interest in sustainability: Including an interest in sustainability climate, or ESG topics and a desire to use your skills to help accelerate the climate transition
What the job involves
- As Briink’s AI/LLM Engineer, you will work as part of the product and engineering team to bring the cutting edge of LLMs to sustainable finance and help advance Briink’s mission to accelerate transition to a sustainable planet
- This includes both using your knowledge and experience as an AI practitioner to evaluate and improve our core ESG AI/LLM engine, as well as exploring new use-cases for LLMs in ESG and sustainability
- Systematically evaluate and improve our core LLM systems: You will use your knowledge and experience as an AI/LLM practitioner to systematically evaluate and improve our core ESG AI/LLM system and help ensure Briink becomes a world leader for ESG domain specific LLM tools
- Build LLMs into production grade services: On a scale with pure researcher on one side and traditional backend software development on the other side, this leans somewhat more on the software engineering side of the scale, as part of your role will also be to help ensure that improvements to the AI/LLM services are driven through to production and delivering tangible value to our users
- Explore new LLM use-cases in ESG: Both LLMs and ESG are moving very fast and so at Briink we value curiosity and exploring how AI could be applied to new use cases in ESG. Part of your role therefore will be to explore and prototype new ways LLMs could support our users and solve new problems for ESG teams
- Be a core member of the product and engineering team: Briink is a collaborative team and we really enjoy working together to try and build Briink into a successful company that has mission impact at scale. You will therefore work closely as part of a cross discipline team to make sure all the work we do pushes in the same direction and helps achieve our mission
Application process
- APPLICATION REQUIREMENT: Intro Video Submission
- As part of your application to Briink, please submit a short intro video (maximum of 2 minutes) addressing the following points:
- Brief Introduction:
- Introduce yourself and summarize your professional background relevant to this role
- Passion for building AI/LLMs:
- Share what excites you most about this role and why you think you'd be good at it
- Alignment with Briink’s Mission:
- Explain why you’re interested in joining Briink and how our mission resonates with you
- Technical Guidelines:
- Duration: The video should not exceed 2 minutes
- Content Quality: We are not assessing video production skills; using a webcam or smartphone is perfectly fine. Focus on clear communication and authenticity
- Format: In the application form, please provide a link to your video hosted on a platform like YouTube (unlisted), Vimeo, Loom, or a shared drive OR upload the video file under "Other" in the Documents section
- Purpose of the Video:
- This video helps us get to know you beyond your resume. We’re interested in your communication skills, your passion, and how you envision contributing to Briink’s mission and culture
- No cover letter is required!
Our take
Predicting AI as the most significantly growing tech field of this century, Merantix aims to apply machine learning to sectors that can benefit most from it. After a robust, highly selective vetting process, Merantix identifies founders and collaborates to provide support and funding to scale their businesses. The company integrates all areas of AI, building a complete talent pipeline and fund for venture scaling. Successful examples include Vara, SiaSearch, and Cambrium.
Merantix differentiates itself from typical venture capital firms through its approach. While most VCs invest in established businesses, spreading funds across many companies and taking losses while focusing on winners, Merantix tries to pick winners at the earliest stage.
The launch of an AI Campus in 2021 significantly increased the company's ecosystem, allowing it to explore new fields. Through strategic partnerships with SoftBank and the AI City project in Dubai, Merantix is growing. It has incubated ten successful startups so far and aims to produce even more in the coming years. Merantix is raising a new €100 million fund to co-invest in startups, marking its largest fund yet. This fund will be allocated to co-investing in external startups, investing in incubated startups, and supporting existing investments.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Company benefits
- Getting close to the AI startup landscape in Berlin
- Flexible working hours
- Learning & development program
- Regular team events and intensive exchange with all Merantix companies
- Free drinks, snacks, and breakfast
- Equal rights, respect, and promotion of diversity
Company values
- We encourage passion: We invite our team members to pursue their curiosity for a wide range of topics. Only with dedication and commitment can we create machine learning solutions that are capable of transforming entire industries
- We build on trust: We believe that we can only deliver outstanding results if we trust each other’s capabilities and drive. At Merantix, people take on ownership and responsibility for their projects and receive recognition for their hard work
- We are part of a community: We are a significant contributor to the open-source community because we believe that knowledge is most impactful when shared. To strengthen the nexus between research and business, our team members regularly attend academic and industry conferences
- We expect excellence: In everything we do, we strive for outstanding quality and visionary ideas. We push each other to get the best out of every one of us and invest in personal development
Company HQ
Brunnenviertel, Berlin, BE
Articles
Leadership
Rasmus Rothe
(Co-founder)Director of HackZurich since 2014. Currently a board member for Merantix Labs, SiaSearch, Kausa, Cambrium, and KI Bundesverband. Co-founder and on the board of AI Campus Berlin.
Adrian Locher
(Co-founder & General Partner)Previously founded Altoida. Currently a board member for Kausa, Cambrium, SiaSearch, Vara, and Merantix Labs. Co-founded and on the advisory board for AI Campus Berlin.
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