Senior Software Engineer, AI

dowjones; España; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Healthcare plans

Remote work up to 3 months/year

Meal benefit

Retirement plans

Well-being resources

Family care benefits

Employee referral program

Job summary

Dow Jones is seeking a Senior Software Engineer for its GenAI Experiences team in Barcelona. This role entails end-to-end ownership of complex features and systems, collaborating with data scientists, ML engineers, product managers, and engineering leads to deliver reliable, scalable AI-powered products.

You will lead technically on large-scope projects while remaining hands-on in design, implementation, and production operations, contributing to CI/CD, observability, and model versioning

Qualifications

• 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 operating production systems.
• Strong Python skills and experience building scalable backend services and REST or GraphQL APIs.
• Experience with cloud-based infrastructure and services (AWS and GCP), Docker, and Git.
• Exposure to deploying and monitoring machine learning models or generative AI systems in production environments, including automated evaluation pipelines.

Responsibilities

• Design, 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.
• Collaborate with product managers, data scientists, and engineering leads to translate requirements into reliable technical solutions and surface risks and tradeoffs.
• Integrate internal and third-party LLM and AI APIs to extend system functionality and deliver new product capabilities.
• Develop tools and frameworks for prompt management, automated evaluations, and observability.

Skills

Python

REST APIs

GraphQL

SQL

ML model deployment

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

Docker

Git

Airflow

AWS

GCP

LangChain

LangGraph

LangSmith

Job description

About the Team:

Our Technology team drives the evolution of our Engineering, Data, Product and User Experience functions. Within this group, the GenAI Experiences team builds generative AI products that define the future of news and business intelligence for millions of users across the Wall Street Journal and Dow Jones brands. Through our Co-Engineering model, we develop production-grade AI capabilities - including summarization, conversational AI, and deep research experiences - in close partnership with Product, Newsrooms, and platform teams. Collaborating across disciplines, we spearhead the development of groundbreaking AI-powered products and technologies.

About the Role:

Dow Jones is seeking a Senior Software Engineer to join our GenAI Experiences team in Barcelona. In this role, you will take end-to-end technical ownership of complex features and systems, driving delivery with limited supervision and serving as a key technical contributor on the team. 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 Will:

• Design, 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 deliver new product capabilities.
• Develop tools and frameworks for prompt management, automated evaluations, and observability.
• 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 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 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 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 system
• Exposure 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).

Our Benefits

• Comprehensive Healthcare Plans for you and your family (paid by Dow Jones)
• Extra paid Time Off (30 days of holidays/year)
• Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter
• Meal benefit with Pluxee (171€/month on top of your salary)
• Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).
• Comprehensive Insurance Plans
• Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program (2,500 USD for referring a talent)

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at ta