AI Engineer
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AI Engineer
54.551–75.836 / Year
Location
Granada, , Spain
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeWork from Home
Job Description
## Company Description
Meet [Unit4](https://www.unit4.com/homepage1). With over 40 years of heritage, we’re an agile, fast growing, Cloud company that is on a mission to redefine Enterprise Resource Planning (ERP) for mid-market people-centric organisations.
With our innovative, self-driving, adaptive and intuitive software, our customers can spend more time on meaningful high-value work.
At the heart of what we do lies a simple yet profound purpose: **Improve how people work by focusing on what truly matters.** — A powerful statement that enables different priorities for different people.
We’re shaping **how work should feel**, and we empower our people by providing them with the right tools to achieve the autonomy they need - it's what makes us unique.
## Job Description
We're looking for an **AI Engineer** to **design, build, and operate production-grade AI and Generative AI solutions across the company**. This is a **hands-on engineering role**: you'll turn architecture and business requirements into working, scalable systems - including **LLM applications, AI agents, RAG pipelines**, and integrations with our enterprise platforms. The role has a strong emphasis on Microsoft Azure and the Microsoft Copilot ecosystem, which are our primary enterprise platforms.
The role is **remote (in Spain only).**
**Key Responsibilities**
- Design and implement AI-driven solutions that automate business processes, reduce manual effort, and improve service delivery across the organization.
- Build production-grade GenAI applications — LLM-powered features, AI agents, copilots, and orchestration layers — translating architectural patterns into working code.
- Contribute to PoCs and pilots, rapidly prototyping new capabilities and bringing them to a production-ready state when validated.
- Develop and integrate AI agents and multi-agent systems using established orchestration frameworks.
- Build APIs and microservices that expose AI capabilities to internal teams and products, following architecture and security standards.
- Integrate AI solutions with enterprise platforms (e.g., CRM, ERP, ITSM, data warehouse, identity, observability stack) via APIs, events, and connectors.
- Ensure designs support scale, reliability, and change management — versioning, backward compatibility, and clear contracts.
- Contribute to responsible AI practices and internal policy development by translating principles into engineering standards, reusable patterns, and reference implementations.
- Implement governance and security controls in code, including: data classification and PII handling, prompt injection defences and content filtering, audit logging and traceability, and RBAC/least-privilege access patterns.
## Qualifications
- **min. 4+ years of professional software engineering** **experience**, with **1–2 years building and shipping AI/ML or Generative AI solutions** in production.
- Proven track record of **delivering AI features** that run in production with real users.
- **Hands-on experience in enterprise environments:** security, compliance, integrations, and scale.
- LLMs & GenAI: **deep practical experience** with foundation models, prompt engineering, tool/function calling, structured outputs, and context management.
- Agents & orchestration: **hands-on experience building agents**, copilots, or multi-agent workflows.
- Microsoft Azure: d**eploying and operating AI workloads on Azure** — specifically Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and related services.
- Microsoft Copilot ecosystem: extending or integrating Microsoft 365 Copilot; building custom copilots and agents with Microsoft Copilot Studio.
- Python: strong production-quality Python — typing, testing, packaging, and async patterns.
- APIs & services: REST and/or gRPC; event-driven patterns; API design and versioning.
- MLOps fundamentals: experiment tracking, model and prompt versioning, automated evaluation, and monitoring of AI systems in production.
- Multi-model experience: familiarity with working across LLM providers (e.g., Azure OpenAI, third-party models via Azure AI Foundry) and adapting to provider-specific patterns such as tool use, structured outputs, and long-context handling.
- Experience with embedded/on-platform AI tooling such as ServiceNow Now Assist or similar ITSM AI capabilities.
- Strong communication skills — able to explain technical decisions to both engineers and non-technical stakeholders.
- Pragmatic, delivery-oriented mindset; comfortable balancing speed of iteration with production quality.
- Fluency in English, written and spoken.
**Please send your only CV in English.**
## Additional Information
**Who we are?**
We are a people-first community that nurtures all the areas that surround your working experience. With us, you’ll be surrounded by a high-performance team that supports your authentic self and celebrates your uniqueness.
We believe that ‘How work should feel’ is an evolving statement. Work goes beyond tasks and everyday responsibilities it’s about feeling valued, empowered, promoted, impactful, seen, and appreciated
We are reimagining how work makes people feel.
**What we offer?**
- a [culture](https://careers.unit4.com/our-culture) built on trust and accountability - giving you the freedom and autonomy to be successful and make an impact
- [balance](https://careers.unit4.com/unit4-wellbeing) - with our Flexible Leave Paid Time Off policy, remote working opportunities, Global Wellbeing Days, and other great [benefits](https://careers.unit4.com/benefits-and-reward)
- [growth](https://careers.unit4.com/Developmentandrecognition)opportunities - we provide the tools and guidance required so that you can focus on what really matters to you and so, ultimately, you can achieve your best work
- talented [colleagues](https://careers.unit4.com/our-people), role models and mentors - work, learn and be inspired by some of the best talent in the software industry
- a commitment to [sustainability](https://careers.unit4.com/esg) - with initiatives such as our Environmental, Social, and Governance strategy and Act4Good programme
- a [safe and inclusive](https://careers.unit4.com/diversity-equity-and-inclusion) working environment – supported by our Employee Resource Groups, which are open to all.
**Our commitment to equity**
Unit4 is committed to ensuring equal opportunity for everyone. We make our hiring decisions solely based on skills, qualifications, and our current business needs. We know that diversity brings fresh perspectives, ideas, and solutions to our company. This is the essence of our culture. We also welcome and encourage people who are pregnant and/or parents-to-be to apply. If you would like to know more about our commitment to diversity, visit our blogs:
- [Our focus to DEI remains central to who we are](https://careers.unit4.com/blog/our-focus-dei-remains-central-who-we-are)
- [Inclusive hiring at Unit4: Building equal opportunities for all](https://careers.unit4.com/blog/inclusive-hiring-unit4-building-equal-opportunities-all)
*This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries though – we'll handle it according to local privacy laws and keep your info safe. Questions? Feel free to reach out!*
**Salary range: 54,551 - 75,836 EUR**
Key Responsibilities
- Design and implement AI-driven solutions to automate business processes and improve service delivery.
- Build production-grade GenAI applications including LLM-powered features, AI agents, and copilots.
- Contribute to PoCs and pilots, rapidly prototyping new capabilities for production readiness.
- Develop and integrate AI agents and multi-agent systems using orchestration frameworks.
- Build APIs and microservices to expose AI capabilities to internal teams and products.
- Integrate AI solutions with enterprise platforms such as CRM, ERP, and ITSM via APIs and connectors.
- Ensure designs support scale, reliability, and change management including versioning and backward compatibility.
- Contribute to responsible AI practices and internal policy development.
- Implement governance and security controls including data classification, PII handling, and RBAC.
Skills Required
PythonMicrosoft AzureAzure OpenAI ServiceAzure AI FoundryAzure AI SearchMicrosoft Copilot StudioLLMsGenerative AIPrompt EngineeringTool/Function CallingREST APIsgRPCMLOpsExperiment TrackingModel VersioningPrompt VersioningMulti-agent SystemsAI AgentsCopilotsCommunicationPragmatic mindsetDelivery-orientedFluency in EnglishServiceNow Now AssistITSM AI capabilities
Benefits
- Flexible Leave Paid Time Off
- Remote working opportunities
- Global Wellbeing Days
- Development and recognition opportunities
- Sustainability initiatives
- Safe and inclusive working environment
- Employee Resource Groups
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