Spendesk
Software Engineer AI - Paris/London/Barcelona

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Software Engineer AI - Paris/London/Barcelona
Build the backend foundations for Spendesk’s AI-native experiences
Spendesk is looking for a Backend Software Engineer (IC3) to join our PDE (Product, Design & Engineering) organization and help shape the technical foundations of our next generation of AI-powered product experiences.
This is a hands-on role for an engineer who combines strong backend fundamentals with solid fluency in LLM-enabled systems. You will work on the technical foundations behind conversational and agentic experiences: backend services for context handling, orchestration, tool calling, and reliable interactions with LLMs and applicative systems.
About the Role
As a Backend Software Engineer (IC3), you will help create the backend layer that supports agentic and conversational experiences for Spendesk end users. Your scope will include services that:
- Manage conversations and contextual state
- Support the ingestion and retrieval of rich content such as PDFs and images
- Integrate LLMs through AWS Bedrock with robust operational patterns
- Connect to MCP-compatible services and tools exposed by other squads
- Orchestrate multi-step workflows combining reasoning, tool usage, and product actions
This is not just about integrating services’ features to an LLM. You will build production-grade services that need to be reliable, observable, secure, and designed for long-term extensibility. You will contribute to reusable patterns and collaborate with ML Engineers, Product Managers, Designers, and applicative squads to make these foundations useful across multiple AI use cases.
Our Tech Environment
You’ll operate in a modern engineering environment designed for both product delivery and AI integration:
- TypeScript
- Node.js for backend and banking applications
- React on the frontend
- PostgreSQL for data storage; Redis, SQS, and Kafka for jobs, queues, and event streaming
- Terraform to define infrastructure as code
- Kubernetes, Lambdas and Step Functions to run our applications
- AWS as our cloud provider, including AWS Bedrock for LLM access
- GitHub Actions for CI
Key Responsibilities
Backend Services for AI-Native Experiences
You will:
- Design, build, and operate backend services and APIs that power conversational and agentic AI features.
- Implement services needed for context management, tool invocation, rich content access, and multi-step orchestration.
- Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage.
- Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.
Architecture & Transversal System Design
You will:
- Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences.
- Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.
- Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.
- Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.
Hands-On Delivery of Complex Systems
You will:
- Own complex backend components end-to-end, from design and implementation to deployment and maintenance.
- Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services.
- Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
- Bring pragmatism to delivery, balancing speed of experimentation with long-term platform quality.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Observability, Performance & Operational Excellence
You will:
- Instrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.
- Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.
- Contribute to a strong "you build it, you run it" culture, where backend engineers own what they ship in production.
- Ensure AI-related services are built with secure coding and responsible data handling practices.
Cross-Functional Collaboration
You will:
- Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.
- Partner with applicative squads to connect backend services with the tools, context, and business actions needed by AI systems.
- Help create shared engineering knowledge around LLM integration, async workflows, and reliable AI feature delivery.
What We’re Looking For
Experience & Background
You have:
- Significant experience in backend software engineering in production environments
- A strong track record of designing and shipping scalable backend services with clear ownership of reliability and maintainability
- Experience contributing to complex technical projects in fast-paced product organizations
- Ideally, hands-on exposure to AI-enabled or LLM-backed product features in production
Technical & Data Skills
You have:
- Strong backend engineering skills with TypeScript/Node.js or adjacent technologies
- Good fluency in service design, asynchronous architectures, and resilient distributed systems
- Experience integrating APIs and external services into robust product backends
- Practical experience or a strong interest in integrating LLMs into production systems, ideally using platforms such as AWS Bedrock, OpenAI, or Anthropic
- Familiarity with technologies like Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices
Leadership & Collaboration
You are:
- Highly autonomous and comfortable owning ambiguous technical problems from framing to delivery
- Able to work effectively in partnership with a Staff Engineer while independently delivering complex components
- Product-minded, customer-focused, and capable of translating business needs into backend systems
- Curious about AI-native product design and motivated by building durable foundations, not just short-term demos
- Fluent in written and spoken English, our business language
Nice to Have
- Experience with conversational or agentic systems
- Experience integrating LLMs with tool-calling, guardrails, and evaluation loops
- Experience with rich content processing, document workflows, or multimodal service design
- Experience in SaaS, fintech, or regulated environments
"Not ticking every box? We’d still love to hear from you. At Spendesk, we value skills, potential, and diverse experiences. If this role excites you and you believe you could contribute, we encourage you to apply."


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How We Work
- AI-first, product-led: prototype fast, dogfooding, iterate based on data
- You build it, you run it: owning deployment, monitoring, and continuous improvements
- Collaboration by default: PM, Design, ML Engineering, and Backend Engineering work together toward outcomes
- Pragmatic engineering: we optimize for impact, not theoretical perfection
What Success Looks Like in Your First 90 Days
- You’ve shipped or materially advanced a production-grade backend component that supports conversational or agentic AI experiences at Spendesk.
- You’ve partnered effectively with the IC5 Staff Engineer to turn architectural direction into reliable, reusable backend services.
- You’ve integrated at least one LLM-backed capability through AWS Bedrock with appropriate observability, retries, and operational safeguards in place.
- You’ve improved one shared engineering capability—for example, orchestration patterns, service contracts, or cost/reliability monitoring— that can be reused by future AI features.
Location and Ways of Working
We value regular in-person collaboration. We’re primarily hiring in Paris, London, or Barcelona with a flexible hybrid setup. Outstanding remote candidates may be considered, but this is not a remote-first role.
Hiring Process
- HR screening call
- Discussion with the Hiring Manager
- Technical interview (live coding and/or system design depending on profile)
- Final interview with leadershi**
Application and CV Submission
As we are an international team, please submit your application and CV in English.
About Spendesk
Spendesk is the AI-powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work. Its single, intelligent solution makes efficient spending easy for employees and gives finance leaders the full visibility and control they need across all company spend—even in multi-entity structures.
Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as SoundCloud, Gousto, SumUp, and Bloom & Wild. With offices in the United Kingdom, France, Spain, and Germany, Spendesk also puts community at the heart of its mission.
For more information: www.spendesk.com/press
Benefits
- Flexible on-site and remote policy
- Latest Apple equipment—the tools you need to excel
- Access to Moka.care—for emotional and mental health wellbeing
- Great office snacks—to fuel your day
- A positive team to work with daily!
We also offer location-specific benefits tailored to each market, including:
- Health insurance
- Wellness allowances
- Commuter support
- Meal vouchers
- Gym memberships—ensuring you're well supported whichever location you're based.
Diversity & Inclusion
At Spendesk, we're committed to fostering an environment where all differences are encouraged, supported, and celebrated. We’re building our culture for everyone, with everyone.
Our goal is to attract and build a diverse, equal, and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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