Briink (Berlin): AI/LLM Engineer

Briink

New

AI/LLM Engineer

Berlin, Germany

Employee

Software Development

What we do

READ BEFORE APPLYING: Adding a short intro video is mandatory for this position. We do this to get a better sense of candidates before continuing the process. Any application without a video will be rejected by default. Find instructions at the bottom of the post. No cover letter is required. Thank you!

At Briink, we're helping accelerate the transition to a sustainable future by creating the next-generation of AI powered tools for sustainability and ESG teams on the frontlines of solving the climate crisis.

We believe that AI is the key to unlocking the future of sustainable business. With over 50 enterprise clients—including some of the world's largest firms—we’re already transforming how organizations manage their ESG data. Our technology helps sustainability teams uncover actionable insights from unstructured data sources, making it easier to drive compliance, efficiency, and impact at scale.

Backed by €7 million in capital, including a freshly closed round, and supported by leading venture capital funds, Briink is at the forefront of ESG innovation. We’re based at the heart of Europe’s AI revolution—the AI Campus in Berlin—where we are building a future where AI helps accelerate the transition to a sustainable future.

Your role

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.

Your profile

What type of person we're looking for...

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.

Technical Skills

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. Even if your experience doesn’t align precisely with all the criteria, we encourage you to apply. Many people miss out on opportunities because they feel they don’t fit every requirement—we believe in growth, not perfection!

What we offer

Competitive Remuneration: As a core member of our team, you will receive a competitive salary and equity package, reflecting your role in shaping Briink’s future.
Purpose-Driven Mission: ESG data has the power to create a more sustainable world, but today it presents more challenges than solutions. We believe AI can change that. Be part of the transition to an AI-powered, sustainable world.
Flexible Working: Our work philosophy is built on flexibility. While we do like to come to the office (in Berlin or London) to collaborate in person, this is a hybrid role with opportunities for some remote work within European time zones.
Trust and Ownership: At Briink, we empower you to own your projects with the option for growing into new roles. We believe in giving people autonomy and trust to drive your own initiatives.
Dynamic Work Environment: Based at the Merantix AI Campus, Berlin’s hub for AI innovation, you’ll work in a diverse, collaborative environment. With frequent events and opportunities for cross-company collaboration, you’ll be part of a thriving ecosystem of AI startups and experts.
Learning budget and quarterly hackathons: We truly believe in the importance of curiosity and experimentation as both a learning opportunity and strategic advantage. We therefore have a learning budget to explore new technologies and regular hackathons to prototype new ideas.

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:
1. Brief Introduction:
  - Introduce yourself and summarize your professional background relevant to this role
2. Passion for building AI/LLMs:
  - Share what excites you most about this role and why you think you'd be good at it
3. 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!

Updated: 22 hours ago

Job ID: 13687138

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Briink

11-50 employees

Technology, Information and Internet

Leveraging AI to scale the allocation of capital into truly green projects.

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