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# Software Engineer, Ai

- **Company:** Roledow Jones
- **Location:** Madrid, Spain (Remote available)
- **Salary:** €45,000.0 - €65,000.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Software Quality, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Software Engineering, Cloud Platform System, LangChain, Evaluation Pipelines, Large Language Models, Prompt Engineering, Backend, Git, Data Layers, LangSmith, Information Technology, Graphql, Machine Learning Operations, Data Pipelines, Docker
- **Published:** October 11, 2026
- **Apply:** https://www.adzuna.es/details/5922674601

## About the Role

processes - code quality standards, testing practices, observability, and CI/CD pipelines.Monitor and improve production AI systems for reliability, performance, and quality - troubleshooting issues across the full stack.Integrate third-party AI APIs (internal and external) to extend the functionality of systems.Participate in code reviews, apply MLOps best practices, and contribute to team standards for model versioning, experiment tracking, and CI/CD.Stay updated on developments in fullstack engineering for GenAI and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.You HaveBachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.3-5 years of industry software engineering experience building and operating production systems.Strong Python skills and experience building scalable backend services and REST or GraphQL APIs.Experience with cloud-based infrastructure and
services (e.G., AWS and GCP), Docker, and the Git version control systemExposure to deploying and monitoring machine learning models or generative AI systems in production environments, including automated evaluation pipelines.Familiarity with LangChain, LangGraph, LangSmith, or equivalent agentic/orchestration frameworks.Exposure to MLOps tooling - model deployment, monitoring, experiment tracking, evaluation pipelines - is a strong plus.SQL proficiency and experience with data pipeline tooling (Airflow or equivalent).

## Description

You will partner closely with data scientists, ML engineers, product managers, and peer engineering leads to design and ship reliable, scalable AI-powered products.This is an individual contributor role for an engineer who is ready to lead technically on large-scope projects, influence engineering direction, and mentor colleagues - while remaining deeply hands-on in design, implementation, and production operations.You WillDesign, build, and own end-to-end delivery of AI-powered features across the GenAI Experiences platform - from backend APIs and data layers to user-facing integrations.Partner with product managers, data scientists, and engineering leads to translate business requirements into reliable technical solutions, and surfacing risks and tradeoffs.Integrate internal and third-party LLM and AI APIs to extend system functionality and delivery new product capabilities.Develop tools and frameworks for prompt management, automated evaluations, and observability.Improve team