[All remote jobs](https://jobicy.com/jobs.md)Open role[![Pleo logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/b27fbed2-221.jpg)](https://jobicy.com/company/pleo.md)Remote opportunity at[Pleo](https://jobicy.com/company/pleo.md)

# Staff Applied AI Engineer

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/pleo.md)Share27 Aug 2026Published25Listing views3Application actions26 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryPleo is seeking a Staff Applied AI Engineer to lead the delivery of customer-facing GenAI capabilities for its spend-management product. The role emphasizes taking AI features from product discovery and prototype through reliable production deployment, including agentic workflows, RAG, evaluation, monitoring, and safety controls. This engineer will work closely with Product, Design, Data, AI Platform, and Product Engineering teams while influencing organization-wide AI delivery standards. Strong hands-on expertise in Python, SQL, cloud data systems, LLM applications, and scalable API or retrieval architectures is required. The position is available remotely, hybrid, or in person for candidates based in the United Kingdom, Denmark, Portugal, or Spain.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a staff-level, high-ambiguity position requiring proven experience shipping multiple production GenAI products rather than prototypes. The hire must make difficult technical and product trade-offs, establish operational practices, and influence technical and non-technical stakeholders across teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$220,000US market range$185k–$270k0$297k

AI insightNo actual salary, pay range, or other candidate compensation is disclosed in the posting. These figures are estimated annual USD base-salary market benchmarks for a US-based Staff Applied AI Engineer with production GenAI, LLMOps, distributed systems, and cross-functional technical leadership responsibilities; actual compensation may vary substantially by location, equity, bonus, and company stage.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Applied AI Engineering](https://jobicy.com/jobs?search_keywords=Applied%20AI%20Engineering.md)[Generative AI](https://jobicy.com/jobs?search_keywords=Generative%20AI.md)[LLM Applications](https://jobicy.com/jobs?search_keywords=LLM%20Applications.md)[LLMOps](https://jobicy.com/jobs?search_keywords=LLMOps.md)[RAG](https://jobicy.com/jobs?search_keywords=RAG.md)[AI Evaluation](https://jobicy.com/jobs?search_keywords=AI%20Evaluation.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Vector Databases](https://jobicy.com/jobs?search_keywords=Vector%20Databases.md)[Cloud Architecture](https://jobicy.com/jobs?search_keywords=Cloud%20Architecture.md)

Sample interview questionsDescribe a customer-facing GenAI feature you took from concept to production. How did you define success?I would explain the user problem, why an AI-based approach was appropriate, and the architecture used for retrieval, tool use, and guardrails. I would define success through offline evaluation metrics, task completion or acceptance rates, latency and cost targets, user feedback, and business impact, then describe how those signals informed iteration after launch.

How would you evaluate and monitor an agentic spend-intelligence feature in production?

I would create a layered evaluation strategy: deterministic checks for tool calls and policy compliance, curated golden datasets for task quality, adversarial tests for prompt injection and data leakage, and online metrics for completion, correction, latency, cost, and error rates. I would version prompts, models, tools, and datasets, use staged rollouts, and establish alert thresholds and rollback procedures.

When would you choose a simpler workflow instead of a multi-step agent?

I would start with the smallest deterministic solution that meets the user need. A multi-step agent is justified only when the task requires dynamic planning, multiple tools, or variable paths that cannot be captured safely and maintainably in a workflow; otherwise, a constrained retrieval-and-generation or rules-based flow is usually easier to evaluate, operate, and secure.

How would you protect PII and financial data in an LLM-powered product feature?

I would minimize the data sent to models, apply access controls and tenant isolation at retrieval time, redact or tokenize unnecessary sensitive fields, and use approved vendors and retention settings. I would also defend against prompt injection with strict tool authorization, structured inputs and outputs, content isolation, audit logging, adversarial testing, and clear human-review paths for high-risk actions.

How do you communicate an AI trade-off such as quality versus latency and cost to non-technical stakeholders?

I translate the trade-off into user and business outcomes, such as response time, expected accuracy, operational risk, and cost per successful task. I present a small set of measurable options, recommend one based on the product goal and risk level, and propose an experiment or staged rollout so the decision can be validated with evidence rather than assumptions.

### About Pleo

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we’re changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike – with a vision to help all businesses ‘go beyond’.

The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.

Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

### About the role

This is an exciting opportunity to help shape how Pleo builds AI-powered product features, working alongside software engineers, data engineers and data scientists to take ideas from prototype to production. Pleo has over 40,000 customers and a decade of unique spend data — an incredible foundation to build on. Your mission will be to harness this data to create real product value.

### Who you’ll be working with and reporting to

You’ll be one of the first hires in our Data & AI Products team but, rest assured, you will not be working solo! You will work very closely with other Engineers and Data Scientists, each bringing distinctive skills while you bring applied AI engineering and data context. Together, the team covers the full chain from data to shipped product.

Your core focus is on building and shipping AI-powered features, with a strong collaborative element across Product Engineering, AI Platform, and Data & ML Platform teams.

### What you’ll be doing

As a Staff Applied AI Engineer you will:

*

Build and ship multiple AI-powered product features, setting the bar for delivery at Pleo, across agentic workflows, spend intelligence, automated actions, and more.

*

Bring deep applied AI expertise and strong judgment on trade-offs (quality vs latency/cost, build vs buy, agent patterns vs simpler approaches) and help teams avoid hype-driven decisions.

*

Work directly with Product, Design, Engineering, and business stakeholders to advise and prioritise on what’s actually worth building. You aren’t just implementing specs, you’re discovering and defining the product.

*

Own the evaluation, monitoring, and operationalisation of AI features: setting up evals, tracking drift and performance, and managing prompt changes safely in production. You will help establish how Pleo does this at scale and own the development in production.

*

Act as a design partner to the GenAI Core platform team: challenge decisions with evidence from real feature delivery, bring clear requirements, and validate platform choices in production.

*

Establish and enforce practical standards for AI feature delivery in product squads (evaluation strategy, monitoring expectations, safe prompt/versioning practices, privacy & safety guardrails) using GenAI Platform tooling (not building the platform itself).

*

Upskill the team through mentorship, reviews, pairing, and lightweight playbooks that make other engineers faster.

### What you bring

You will thrive in this role if you have:

*

Proven experience shipping multiple GenAI features into production, at scale in a customer-facing product. You’ve moved past prototype phases and ideally have experience shipping multi-step, tool-using agents in a user-facing product.

*

The ability to translate complex business challenges and product visions into scalable AI solutions. In other words, you can autonomously scope, design and build.

*

Deep applied AI judgment: you can reason about evaluation, retrieval quality, tool use, failure modes, and what is/isn’t worth building.

*

Experience applying evaluation and observability to LLM systems (tests, golden sets, online metrics, monitoring) and using those signals to iterate.

*

Strong understanding of privacy and security concerns when building LLM applications: prompt injection, handling PII and data leakage risk.

*

Solid experience with the modern AI stack including Vector DBs, orchestration and durable execution frameworks, and LLM APIs.

*

Experience building APIs, services and data retrieval pipelines (RAG, vector search etc) to feed data into LLMs.

*

Deep proficiency with Python for both data and ML engineering, SQL and major cloud providers.

*

An extensive background in traditional ML engineering and a deep understanding of how to architect and build data systems for reliable and scalable production-use.

*

Ability to influence cross-functionally with Product/Design/Engineering and bring teams along on decisions.

To share extra context, our current tech stack includes GCP, BigQuery, Airflow, Python, SQL on the Data side and AWS, Kotlin, Javascript, Typescript on the Product side while our infrastructure is containerised with Kubernetes. Experience across those technologies or languages would be considered a bonus.

### Why is this role a good fit for you

This role is a good fit for you if:

*

You have strong product instincts and build with the user in mind. You understand that a model is only as good as the problem it solves.

*

You have moved past prototyping and have a deep understanding of the realities of LLMOps, data retrieval, prompt and context engineering, as well as model evaluation in production.

*

You don’t just call APIs, you understand the data feeding the AI system and can reason about data quality, architecture, and retrieval without needing a dedicated data engineer beside you at all times.

This role is not a good fit for you if:

*

You want to focus on research and algorithm development. We need someone who cares about shipping solutions to production right now, turning AI concepts into functional features that solve real financial problems today.

*

You need a perfectly groomed backlog, structured tooling and pre-defined specs. We expect our Staff Engineers to be able to navigate ambiguity, to autonomously scope solutions and build any new tooling that might be required.

*

You can’t explain complex AI trade-offs to a CEO or a designer without losing them in the weeds. You work well with stakeholders who are very technically or commercially focused.

### How you’ll develop in this role

In your first 6 months at Pleo, you’ll:

*

Familiarise yourself with our codebase, tooling and roadmap.

*

Partner with our Principal Engineer to define and own our approach to AI feature development.

*

Contribute to shaping the roadmap for tooling and features developed by our GenAI Core team.

*

Collaborate with Product and Data teams to ship a first feature to production

We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills!

### The location

Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work.

We are unable to offer visa sponsorship for this role.

### Show me the benefits!

*

Your own Pleo card (no more out-of-pocket spending!)

*

Lunch is on us for your work days – enjoy catered meals or receive a lunch allowance based on your local office

*

Comprehensive private healthcare – depending on your location, coverage options include Vitality, Alan or Médis

*

We offer 25 days of holiday + your public holidays

*

For our Team, we offer both hybrid and fully remote working options

*

We use MyndUp to give our employees access to free mental health and well-being support with great success so far

*

Paid parental leave – we want to make sure that we’re supportive of families and help you feel that you don’t have to compromise your family due to work

###
The interview process

We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows:

*

Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background.

*

Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics

*

System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature

*

Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution.

*

Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience.

*

Final interview: A leadership interview focusing on your behavioural, communication and collaboration skills.

Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!

*

CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we’re really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies’ websites is a huge help and allows us to truly understand your background!

*

Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates’ efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.

*

Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. We’re looking for someone with proven experience shipping customer-facing AI products who can also confidently operate at Staff level in a SaaS organisation. This means we’ll be looking for evidence that you can own fairly complex initiatives that have organisation-wide impacts beyond just building and shipping.

### About your application

*

English first. Since it’s our company language, please submit your application in English. You’ll be using it a lot if you join us.

*

A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.

*

Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don’t tick every single box. We encourage people from all backgrounds and experiences to join us.

*

Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.

*

Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy [here](https://www.pleo.io/en/legal).

*

Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role.

*

Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

Show more

[Apply now >](https://jobicy.com/jobs/151796-staff-applied-ai-engineer.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

*

![Upload CV](data:image/svg+xml;base64,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)

### Upload your resume now

To unlock remote work opportunities and be discovered by global employers.

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Next step

## Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Keep exploring

## Related remote jobs.

Matched by job category10 related opportunities[Software Engineering](https://jobicy.com/categories/engineering.md) [Browse all jobs](https://jobicy.com/jobs.md)
*
![Clickhouse logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/6394b9a0-221.png)
Clickhouse  Aug 27

### [Core Software Engineer (C++)](https://jobicy.com/jobs/151837-core-software-engineer-c.md)

About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that…

*
![Maze logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/f53dfbf3-221.png)
Maze  Aug 27

### [Senior Full Stack Product Engineer (TypeScript)](https://jobicy.com/jobs/151824-senior-full-stack-product-engineer-typescript.md)

About Maze Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In most companies,…

*
![Grafana Labs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/11/42a3c42246467ec231dd876e92b63452.jpeg)
Grafana Labs  Aug 27

### [Backend Engineer – Platform – Stacks | Ireland | Remote](https://jobicy.com/jobs/151822-backend-engineer-platform-stacks-ireland-remote.md)

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale….

*
![BetterHelp logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/0b48fde8-221.jpeg)
BetterHelp  Aug 27

### [Full Stack Software Engineer](https://jobicy.com/jobs/151816-full-stack-software-engineer.md)

Who are we and why should you join us? BetterHelp is on a mission to champion the well-being in all of us and make mental healthcare more accessible to everyone….

*
![Dispatch logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/5a628d4cc7426c31799aa35e0fbcf45e.jpeg)
Dispatch  Aug 27

### [Backend Engineer](https://jobicy.com/jobs/151789-backend-engineer.md)

About Us The financial advisory industry is a $80T market in the US, but has seen little technological innovation compared to the self-service market (Robinhood, Betterment, Wealthfront, SoFi). Client data…

*
![Welo Global logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/83c40f94-221.webp)
Welo Global  Aug 27

### [Chinese Simplified Accessibility Tester](https://jobicy.com/jobs/149748-chinese-simplified-accessibility-tester.md)

About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support…

*
![Welo Global logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/83c40f94-221.webp)
Welo Global  Aug 27

### [Spanish Accessibility Tester](https://jobicy.com/jobs/149742-spanish-accessibility-tester.md)

About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support…

*
![Welo Global logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/83c40f94-221.webp)
Welo Global  Aug 27

### [Italian Accessibility Tester](https://jobicy.com/jobs/149741-italian-accessibility-tester.md)

About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support…

*
![Welo Global logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/83c40f94-221.webp)
Welo Global  Aug 27

### [Dutch Accessibility Tester](https://jobicy.com/jobs/149740-dutch-accessibility-tester.md)

About Welocalize Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support…

*
![ecosio logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/eec17a98-221.png)
ecosio  Aug 27

### [Full Stack Developer – Java & React (f/m/d)](https://jobicy.com/jobs/150845-full-stack-developer-java-react-f-m-d.md)

Company Description ecosio is a fast-growing, innovative service company and a leading provider of B2B integration, specialising in electronic data interchange (EDI), Web EDI and e-invoicing. ecosio is part of…