Senior Backend Engineer — Ai Pipelines, Hybrid

Company DescriptionInetum Innovationes el equipo responsable de definir y aplicar la estrategia de innovación de Inetum. Trabajamos internamente y con nuestros clientes en proyectos disruptivos que aplican nuevas tecnologías con el objetivo de causar un impacto en la sociedad.
Formamos parte de unaconsultora digital ágil e internacionalcon más de28.000 profesionalesen19 países, reconocidos comoTop Employer Europe 2026. Nuestro modelo de trabajo se basa en la cercanía, la confianza y la colaboración, operando como un único equipo global para dar respuesta a todas las necesidades de los distintos negocios y geografías en las que operamos.

Job Description
Mission description:Contributetothedevelopmentoftheprojectswithinaxapartners.aiprogramTechnical Environment:MicrosoftQualificationsPrefered

experience:
Development of AI solutions.
Required technical

skills:
Develop scalable backend systems and APIs to support AI solutions utilizing Azure services.
Build and optimize cloud-based AI solutions.
Integrate advanced AI functionalities such as Retrieval-Augmented Generation (RAG), speech-to-text, and other AI models into production environments.
Utilize resources like Azure Functions, App Services, Cosmos DB, and Azure Key Vault to enhance solution performance, security, and efficiency.
Collaborate with other data scientists, AI engineers, and frontend developers to ensure seamless integration of AI models and solutions.
Monitor system performance, troubleshoot issues, and resolve problems related to backend services and AI model deployments, ensuring high availability and reliability.
Maintain an in-depth understanding of market trends in Generative AI, particularly around LLMs and prompt engineering.
Desired: Design, develop, and implement Intelligent Document Processing (IDP) solutions leveraging Large Language Models (LLMs)4-5 years of experience in the design, development and implementation of AI solutions, including Generative AI technologies and cloud-based AI services.
Mandatory: High level of English Additional InformationWhat do

we offer
? -Indefinite contract-Salary according to the experience provided.-Career plan:

we offer
an attractive professional career depending on the experience and personal potential within a company in continuous evolution and with a solid growth.-Training plan in technological competences in accordance with the requirements of the projects and clients.-Flexible remuneration:

we offer
you an à la carte remuneration with the possibility of choosing different products and modelling yourself how to distribute them: health insurance, meal tickets, childcare, transport card, etc.-Flexible

working hours
and hybrid work.
SummaryType: Full-timeFunction: ConsultingExperience level: Mid-Senior LevelIndustry: Insurance

The Senior AI Engineer is responsible for delivering business value through the design, delivery, and continuous improvement of AI solutions that support core business functions. This role focuses on applying advanced AI engineering techniques, tools, platforms, software engineering, architecture, and MLOps practices to develop scalable, production-ready systems that solve real business problems and contribute to long-term AI Labs capability growth.
As a highly collaborative and delivery-focused senior individual contributor, you will own long-term, multi-person initiatives, including products, frameworks, and technical capabilities, ensuring work is clearly planned, measurable, and aligned to department value. You will work closely with product teams, engineering teams, business stakeholders, and platform consumers to translate business needs into scalable AI solutions, deliver measurable impact, and help others deliver successfully. You will balance technical excellence with strong ways of working, contributing to a culture of accountability, trust, mentorship, and continuous improvement.
This role requires deep applied AI engineering expertise across architecture, software engineering, experimentation, and MLOps, combined with the ability to communicate effectively, mentor others, influence technical direction, communicate trade-offs, and drive business-aligned outcomes through collaboration and leadershipWe offer flexibility in how and where you work. This position can be based remotely or in a hybrid model from one of our offices in Dublin (Ireland), Barcelona (Spain), or Warsaw (Poland).
AI Solution Delivery & Ownership
- Lead the design, delivery, and continuous improvement of scalable AI solutions, products, frameworks, and capabilities that deliver measurable business value.
- Translate business needs into production-ready AI systems and enterprise integrations with clear outcomes and success metrics.
Applied AI Engineering
- Develop and implement AI solutions using LLMs, RAG, agentic frameworks, document intelligence, machine learning, and data science techniques.
- Evaluate and apply appropriate AI technologies, pat