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# Software Engineer, Ai

- **Company:** Dow Jonesjob
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Code Review, Continuous Integration, Database Queries, Python (Programming Language), Machine Learning, Software Engineering, Cloud Platform System, Chatbots, LangChain, Evaluation Pipelines, Large Language Models, Backend, Git, Data Layers, LangSmith, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines, Docker
- **Published:** October 23, 2026
- **Apply:** https://www.adzuna.es/details/5938514452

## About the Role

Stay updated on developments in fullstack engineering for GenAI and IRtechnologies, incorporating best practices and leveraging cloud infrastructure forefficiency.You Have: Bachelor'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 operatingproduction systems.
Strong Python skills and experience building scalable backend services and REST orGraphQL APIs.
Experience with cloud-based infrastructure and services (e.G., AWS and GCP),Docker, and the Git version control system Exposure to deploying and monitoring machine learning models or generative AIsystems in production environments, including automated evaluation pipelines.
Familiarity with LangChain, LangGraph, LangSmith, or equivalentagentic/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

Within this group, the GenAI Experiences team builds generative AIproducts that define the future of news and business intelligence for millions of users across theWall Street Journal and Dow Jones brands.
Through our Co-Engineering model, we developproduction-grade AI capabilities - including summarization, conversational AI, and deepresearch experiences - in close partnership with Product, Newsrooms, and platform teams.Collaborating across disciplines, we spearhead the development of groundbreaking AI-poweredproducts and technologies.About the Role:Dow Jones is seeking a Senior Software Engineer to join our GenAI Experiences team inBarcelona.
In this role, you will take end-to-end technical ownership of complex featuresand systems, driving delivery with limited supervision and serving as a key technicalcontributor on the team.
You will partner closely with data scientists, ML engineers, productmanagers, and peer engineering leads to design and ship reliable, scalable AI-poweredproducts.This is an individual contributor role for an engineer who is ready to lead technically onlarge-scope projects, influence engineering direction, and mentor colleagues - whileremaining deeply hands-on in design, implementation, and production operations.You Will: Design, build, and own end-to-end delivery of AI-powered features across the GenAIExperiences platform - from backend APIs and data layers to user-facingintegrations.
Partner with product managers, data scientists, and engineering leads to translatebusiness requirements into reliable technical solutions, and surfacing risks andtradeoffs.
Integrate internal and third-party LLM and AI APIs to extend system functionalityand deliver new product capabilities.
Develop tools and frameworks for prompt management, automated evaluations, andobservability.
Improve team 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 ofsystems.
Participate in code reviews, apply MLOps best practices, and contribute to teamstandards for model versioning, experiment tracking, and CI/CD.