Senior Software Engineer (ML/AI services, Python)

Workato; Madrid, Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading tech company in Spain is looking for a Senior Software Engineer to build the core of its AI platform. The role involves designing and developing production-level ML services using Python and collaborating with cross-functional teams. Ideal candidates will have 5+ years of experience, strong skills in NLP and LLM models, and a history of deploying AI solutions in production. Workato prides itself on innovation and a flexible, empowering company culture, offering benefits that enhance both work and personal life.

Servicios

Flexible work environment

Dynamic workplace culture

Multiple employee benefits

Formación

• 5+ years of experience as a Software Engineer, Data Scientist, or similar role.
• Proven track record of deploying and maintaining AI services in production environments.
• Strong English communication skills for all stakeholders.

Responsabilidades

• Design, build, and enhance AI services and APIs powering Workato products.
• Develop well-architected, testable, efficient Python code for production services.
• Drive the full development lifecycle from ideation to deployment.

Conocimientos

Python programming

NLP and LLM models

Analytical thinking

Collaboration

Curiosity for latest technologies

Educación

Bachelor's or Master's in Computer Science or related field

Herramientas

Open-source agentic frameworks

Vector databases

Descripción del empleo

Senior Software Engineer (ML/AI services, Python)

Barcelona, Spain; Madrid, Spain

About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI‑powered platform enables teams to navigate complex workflows in real‑time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast‑changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com .

Ultimately, Workato believes in fostering a flexible, trust‑oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self‑care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for a Senior AI Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production‑grade systems that power intelligent automation, agentic workflows, and large‑scale retrieval services. This is a highly technical, hands‑on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem.
You will also be responsible to:

Design, build, and enhance AI services and APIs powering our Workato products, leveraging LLMs and custom ML models.

Develop an enterprise grade agentic platform, knowledge retrieval services, multi‑agent collaboration

Develop agentic evaluation framework, defining success metrics and criteria, leveraging LLM‑as‑judge approach

Working with data scientists and data engineers to define requirements for fine‑tunes models and capturing eval datasets

Develop well‑architected, testable, and efficient Python code for production services and experimentations.

Implement and improve validation, monitoring, and observability for production‑grade solutions.

Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.

Identify and resolve bottlenecks, bugs, and technical challenges in a fast‑paced, iterative environment.

Conduct code reviews and mentor team members to uphold high engineering standards.

Requirements

Qualifications / Experience / Technical Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Science or equivalent industry experience.

5+ years of experience as a Software Engineer, Data Scientist, or similar role.

Strong Python programming skills and hands‑on experience with NLP and LLM models.

Proven track record of deploying and maintaining AI services in production environments.

Experience with open‑source agentic frameworks (e.g., LangGraph, Google ADK) and vector databases.

Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots.

Experience with relational and non‑relational databases.

Preferred skills

Familiarity with observability best‑practices

Experience building or supporting developer platforms

Solid understanding of network protocols, API design, distributed architecture

Soft Skills / Personal Characteristics

Strong written and spoken English; ability to communicate complex ideas clearly to technical and non‑technical stakeholders.

Curiosity and ability to be current with the latest technologies

Collaborative team player who takes initiative and thrives in a dynamic startup environment.

Analytical thinker with a focus on continuous improvement and innovation.

Workato fosters an environment where diversity is celebrated and employees feel a sense of community and belonging. Our ability to win together as a team and to better each other is strengthened through our global perspectives, cultures, and identities. Your responses will not be associated with your specific application, will not be shared with the hiring team, and will not in any way be used in the hiring decision.