AI Transformation Engineer

Rydoo

Lisboa

Híbrido

EUR 70 000 - 110 000

Tempo integral

há 26 horas

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Vantagens oferecidas por esta oferta de emprego

Rydoo Hybrid work policy

Meal vouchers

International mobility program

Language classes

Onboarding program

Annual events

Resumo da oferta

Rydoo is seeking a role focused on building and deploying AI-powered internal tools and automations. You will connect data across internal systems, create reusable building blocks, and deliver cross-functional AI projects for Sales, Finance, CS, HR, and Product.

You will own internal AI products end-to-end, balancing speed, quality, and scalability, while ensuring robust data governance and user-friendly adoption across the company.

Qualificações

3–8 years of experience in software/software engineering or similar roles.
Hands-on experience putting LLM-based solutions into production, not just prototyping.
Experience making a solution reliable after launch: evaluation, testing, monitoring, handling failure cases
Familiarity with SaaS environments and tech stack (Salesforce, Slack, M365, Snowflake, ...).

Responsabilidades

Translate business needs into concrete AI solutions.
Design, build, and deploy internal tools powered by AI (LLMs, automation, workflows).
Move quickly from prototype to production-ready solutions.
Ensure solutions are reliable, usable, and scalable.
Work with teams to understand workflows and prioritize use cases
Take ownership of internal AI products from ideation to deployment
Build automations using APIs, no-code/low-code platforms, and custom scripts.

Conhecimentos

SQL API data modelling pipelines

Data integration

Automation tools

AI models understanding

Ferramentas

Salesforce

Slack

Microsoft 365 (M365)

Snowflake

Zapier

Make

Descrição da oferta de emprego

What Will You Do

Rydoo is a fast-growing international SaaS company in spend management, helping companies streamline how they capture, control and report employee and company spend.
Our platform offers expense management and accounts payable for thousands of enterprise customers across 130+ countries. We are backed by strong private equity partners and continue to scale rapidly, with a growing footprint in Europe and the US.
We are a team of :200 people, representing 30+ nationalities. We move fast, work pragmatically and care deeply about building software for modern finance teams.

Role Purpose

At Rydoo, AI is a key lever to improve how we operate internally: faster execution, better decisions, and reduced manual work.
To unlock this potential, we are creating a dedicated role focused on building and deploying AI-powered solutions for internal teams. You will connect data across our internal systems, create the shared building blocks that AI solutions sit on, and deliver the larger internal projects end to end. Alongside that, you will ship focused use cases with individual teams (Sales, Finance, Customer Success, HR, Product).

The Role

You are a builder, one who cares about what happens after the demo.
Your mission is to turn AI opportunities into deployed, reliable solutions that teams use every day, and to make each one cheaper and faster to build than the last by investing in shared data access, integrations and tooling.
You will not work on Rydoo's customer-facing product, but on internal tools, automations, and workflows that increase efficiency and quality across the company.
You will collaborate closely with the AI Transformation Lead and business teams to identify needs, prioritise use cases, and deliver solutions end-to-end.

What Will You Do

Use case development & delivery

Translate business needs into concrete AI solutions
Design, build, and deploy internal tools powered by AI (LLMs, automation, workflows)
Move quickly from prototype to production-ready solutions
Ensure solutions are reliable, usable, and scalable

Cross-functional collaboration

Work directly with teams (Sales, Finance, CS, HR, etc.) to understand their workflows
Help prioritise the most impactful use cases
Act as the bridge between what is technically possible and what is operationally useful
Enable teams to adopt and use the solutions you build

Product & technical ownership

Take ownership of internal AI products from ideation to deployment
Make pragmatic trade-offs between speed, quality, and scalability
Continuously improve solutions based on feedback and usage
Ensure a strong focus on user experience and adoption

Tooling, automation & integrations

Build automations using tools such as APIs, no-code/low-code platforms, and custom scripts
Integrate AI capabilities into existing systems (CRM, support tools, finance tools, etc.)
Leverage multiple models and providers depending on the use case
Ensure robustness and maintainability of what you build

AI experimentation & innovation

Stay up to date with the latest AI tools and capabilities
Rapidly test new approaches and identify what works in practice
Bring new ideas proactively to the organization

Governance & best practices

Ensure secure and compliant use of data in all solutions
Follow and contribute to internal AI guidelines
Balance experimentation with responsible usage

What success looks like (12-18 months)

Multiple AI-powered internal tools are in production and used weekly by the teams they were built for
Clear productivity gains are observed in key workflows
A pipeline of new AI use cases is continuously identified and executed
Solutions are robust, scalable, and well adopted

Requirements

3-8 years of experience in software engineering, product engineering, or similar roles
Hands-on experience putting LLM-based solutions into production, not only prototyping them
Experience making a solution reliable after launch: evaluation, testing, monitoring, handling failure cases
Familiarity with SaaS environments and tech stack (Salesforce, Slack, M365, Snowflake, ...)

Technical Skills

Strong data and integration skills: SQL, API, data modelling, pipelines, working across systems that were not always designed to talk to each other
Experience with automation tools (e.g. Zapier, Make, or equivalent) is a plus
Ability to work with multiple AI models and understand their trade-offs
Solid engineering fundamentals & coding knowledge

Mindset & Capabilities

Builder mindset: you like shipping things that work
Strong business intuition: you focus on real user impact
Able to operate in ambiguity and define your own roadmap
Strong collaboration skills across technical and non-technical teams
Curious, fast learner, and hands‑on with new tools

Why this role is interesting

You work on high-impact problems across the entire company
You build real solutions that people use every day
You are at the forefront of applying AI in a practical business context
You have a direct impact on productivity and company performance
Company-wide scope, from finance close to sales workflows, with direct access to leadership
You will get a personal training and conference budget, paid access to the AI tooling you need to properly evaluate it, protected time to experiment, and a cross-functional AI Guild to learn with

Benefits

A competitive package, including salary and benefits
Meal vouchers of €9 per day
Rydoo Hybrid work policy: decide for yourself where you are most efficient
Rydoo On Tour: our international mobility program that gives employees the possibility to temporarily relocate to one of the countries we have a Rydoo office
Professional freedom and a flexible work environment
Upskilling through training and coaching programsRegular company and team events
Wonderful international team with more than 33 different nationalities
Free Portuguese language classes
Spectacular onboarding program for all new Rydooer's
Free drinks, fruits & snacks to provide you with all the energy to do your job + the occasional after work drink, and great parties (believe us )
Permanent contract