Platform AI Engineer

Sorry, this job was removed at 07:10 p.m. (CST) on Tuesday, Jun 24, 2025
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4 Locations
In-Office
Fintech • Payments • Financial Services
The Role

About us:

BVNK provides modern payment infrastructure for businesses. We unify banks and blockchains in a single platform. With BVNK, businesses can send and receive stablecoin payments, convert between currencies, and add stablecoin payments to their checkout. Using our flexible platform and robust global licensing and compliance expertise, innovators can launch new payment products quickly and compliantly.

We are a diverse team spread across EMEA, North America, and APAC, with a shared belief that all payment flows will interact with crypto in the coming decade, and BVNK will be at the forefront of this transformation of the financial system. 

We recently secured a strategic investment from Visa through their Visa Ventures arm. This follows our $50 million Series B in December, led by Haun Ventures with participation from Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. The continued confidence from these leading investors has enabled us to accelerate our growth trajectory, and we're looking for smart, ambitious people to help us build the next generation of payments. 

We're incredibly honored to have made Newsweek's list of The Top 100 Global Most Loved Workplaces two years running (2023 and 2024) and to have been recognised by LinkedIn as one of the Top 20 Startups in the UK in 2024.


About this role in the team:

Location: We offer a Hybrid/Remote working policy which allows us to hire across EMEA.  

FUNCTION: Engineering

We’re looking for a talented Software Engineer with experience in AI and ML to join our team. Our goal is to build out seamless cross-border payments involving both crypto and fiat currencies.  This role is pivotal in helping us overcome the challenges to ensure smooth trading processes together with streamlining liquidity management and automation. 

Traditional methods have often resulted in customers grappling with high transaction fees, lengthy delays, and the rigidity of having to choose between fiat and crypto transactions. With our innovative solution, we aim to break down these barriers by allowing a fluid interchange between crypto and fiat currencies. This hybrid solution will empower our customers to make international payments in their preferred format, whether it be entirely in crypto, entirely in fiat, or a mix of both. By enhancing the interoperability between these two transaction modes, we aim to accelerate transaction speed, reduce associated costs, and create a more user-friendly experience. 

Our product and engineering organisation is split into small autonomous squads empowered to own their problem space. You’ll be expected to form strong opinions and execute in a fast but sustainable way, advocating for the simplest solution that achieves the outcomes our customers are looking for. 

Key Areas of Responsibilities:

  • Collaborate with our product team to iterate fast and deliver results across both traditional backend systems and ML-powered features
  • Translate from technical to non-technical with stakeholders across the business, particularly in explaining ML model decisions and capabilities
  • Advocate for the simplest but most effective approach in everything we do, balancing traditional software solutions with AI-driven approaches
  • Develop future-proof products, focusing on delivering quality code consistently and efficiently while incorporating ML model lifecycle management
  • Design and implement AI agents and automated systems that enhance our product capabilities and operations
  • Contribute to our engineering culture and standards to help us perform better

What we need from you: This role could be a great opportunity if you:

  • Proven experience as a Solid Backend Developer in a similar role, preferably in the FinTech industry
  • Experience in Python and ML frameworks like TensorFlow or PyTorch
  • Familiarity with Java and Spring Boot is a plus
  • Experience in building and maintaining APIs, services, and ML model deployment pipelines
  • Strong background in training, fine-tuning, and deploying machine learning models in production environments
  • Experience with AI agent development, including working with large language models and reinforcement learning
  • Excellent problem-solving skills, able to work independently or in a team
  • Good understanding of financial services, particularly in banking, payments, trading or crypto
  • Excellent written and verbal communication skills
  • Familiarity with distributed ledger technology or blockchain is a plus
  • Experience with ML ops tools and practices, including model monitoring and versioning
  • Are data-driven, using analytical skills to make pragmatic decisions about both traditional systems and ML applications

What you can expect from us:

  • Fair and competitive salary at every stage of your growth
  • Meaningful ownership in the business through our employee option scheme
  • Flexible working hours, with hybrid working at its heart
  • A culture built on passionate growth-minded people
  • A flexible approach to holiday
  • Opportunities to travel to our offices around the world, in locations such as London and Cape Town, to collaborate with your colleagues 
  • An open and creative environment where you can help us define the future of BVNK, its culture, and its opportunity sets

At BVNK, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team.

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The Company
HQ: London
320 Employees
Year Founded: 2021

What We Do

BVNK is a next-generation payments platform for businesses. We bridge traditional and digital finance to make payments borderless, fast, and secure. Using the BVNK platform, businesses can send and receive payments anywhere in the world in seconds, 24/7.

Newsweek's 25th Most Loved Workplace globally

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