Senior Software Engineer - AI Experience EU/UK remote (m/f/d)
Pliant · Remote · Germany · 1mo ago
ABOUT US
Pliant is a modular B2B payments platform that combines commercial card issuing, payment accounts, FX, and spend management in one system — adapting to existing setups rather than requiring customers to replace them.
Businesses across industries such as travel, e-commerce, and insurance use Pliant to manage complex payment workflows with cards, backed by credit lines Pliant underwrites itself.
Fintechs and software platforms embed Pliant's payment infrastructure into their own products, from API-based Cards-as-a-Service to fully white-label solutions. Banks use Pliant's Card & Spend OS, the customer-facing interface, on their own infrastructure to run card programs.
Founded in 2020 and headquartered in Berlin, Pliant serves 5,000+ businesses and 40+ partners across Europe and the United States. A principal member of Visa and Mastercard, Pliant issues commercial cards in 13 currencies across 32 countries — under its own European e-money license and with licensed partners in the UK and US.
Learn more at www.getpliant.com
ABOUT THE TEAM
Every company creates a messy trail of financial data: card transactions, invoices, receipts, merchants, budgets, approvals, policies, and exceptions. Making sense of all of it is still far too manual. Our team is changing that.
The AI Experience team builds AI-powered product experiences that help finance teams understand, automate, and optimize company spending. That includes AI chat experiences, finance copilots, spend analytics, internal AI tooling, and autonomous workflows. This is not a prompt engineering role. We build complex systems where LLMs are one component among many: structured financial data, APIs, retrieval, business logic, orchestration, evaluation, observability, and production infrastructure. We experiment a lot, but we care just as much about shipping. The goal is not to build impressive demos. The goal is to turn promising AI capabilities into reliable product experiences customers can trust.
ABOUT THE ROLE
We are looking for an Senior Software Engineer - AI Experience (m/f/d) to join the AI Experience team.
You will work at the intersection of software engineering, product thinking, and applied AI. Some weeks, you might be prototyping a new finance copilot experience. Other weeks, you might be improving how an agent reasons over transaction data, building evaluation pipelines, or making an AI workflow more reliable in production.
You should be comfortable with ambiguity. We do not expect every problem to come with a clear spec. Part of the role is figuring out what is worth building, what should be automated, where AI helps, and where traditional software is the better answer.
If you enjoy exploring new AI capabilities but care deeply about turning them into reliable systems, this role should feel exciting.
WHAT YOU’LL DO
Design and build AI-powered product experiences for finance and spend management.
Build chat experiences, copilots, autonomous workflows, and internal AI tools that solve real customer and operational problems.
Work with LLMs, structured financial data, APIs, and business logic to build production-grade AI systems. This includes retrieval systems such as vector search, hybrid retrieval, and text-to-SQL, plus OCR and document understanding.
Design AI solutions using the right approach for the problem; whether that’s tool calling, retrieval, agentic workflows, deterministic logic, or a combination of them.
Build systems that are observable and explainable, not black boxes. Put guardrails and quality monitoring in place so we can trust them in production.
Create evaluation approaches that help us measure whether our AI systems are actually improving.
Experiment with new models and techniques, then turn the useful ones into production features.
Think carefully about accuracy, latency, cost, reliability, and user trust.
Collaborate closely with product managers, designers, and engineers to shape what we build.
Help raise the AI engineering bar across Pliant.
WHAT YOU’LL BRING
Minimum 5 years of professional experience
Experience shipping AI-powered products or features into production.
Strong software engineering skills in Java (Spring Boot) and/or Python ecosystem.
Knowledge of distributed architecture patterns and anti-patterns. Experience with cloud infrastructure, Terraform, and scalable backend systems is a plus.
A good understanding of how modern LLM-based applications are built beyond simple prompting. It helps if you have used frameworks like LangChain, LlamaIndex, or LangGraph and understand the underlying concepts well enough not to depend on any single one.
Hands-on experience with common LLM interaction patterns such as tool calling, memory, structured outputs, RAG, embeddings, agentic loops, and evaluation.
The ability to design systems where AI is part of a larger architecture, not the whole architecture.
A product mindset: you care about whether the thing you build is useful, not just whether it is technically interesting.
The ability to move between experimentation and production-quality engineering.
Strong communication skills and comfort working in a cross-functional team.
It is a plus if you have worked in fintech, accounting, spend management, payments, or banking.
WHAT WE OFFER
The opportunity to work in a growing team with big responsibilities that thrives on a strong exchange of knowledge and excellence
Attractive remuneration
Your choice of preferred OS, Windows or Mac
Flat hierarchy and transparent communication in a relaxed, professional atmosphere
Opportunity to develop your talent in a dynamic team with ambitious goals
Flexibility and possibility to work remotely
Monthly mobility benefit
Wellhub Membership
Pliant Card with monthly credit to explore the product and enjoy food with colleagues
Pliant is an equal opportunity employer. We welcome applications from people of all backgrounds, identities and abilities, and are committed to an inclusive hiring process. If you need any accommodations during the interview process, please let us know.
At Pliant we use the Ashby AI Criteria to assist with looking over resumes against our job qualifications for this role. All final decisions are made by our Talent Team and Hiring Team.
A human is behind these processes. Ashby does not automatically reject candidates or make final hiring decisions. Our teams review all results and make the final hiring decision with every candidate that applies.