Senior Software Engineer, AI

Dow Jones; Barcelona; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare Plans

Paid Time Off

Remote work option

Meal benefit

Retirement plans

Insurance plans

Well-being resources

Family care benefits

Subscription discounts

Referral program

Descripción de la vacante

Dow Jones seeks a Senior Software Engineer to join the GenAI Experiences team in Barcelona. You will own end-to-end delivery of AI-powered features, collaborating with data scientists, ML engineers, product managers, and engineering leads to design and ship reliable, scalable AI products.

You will lead technically on large-scope projects while staying hands-on in design, implementation, and production operations, mentoring peers as needed.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or 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).

Responsabilidades

• 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.

Conocimientos

Python

REST/GraphQL

AWS

GCP

Docker

Git

LangChain

LangGraph

LangSmith

MLOps

SQL

Airflow

Educación

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

Herramientas

Git

Docker

LangChain

LangGraph

LangSmith

Descripción del empleo

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 [e-mail]. Please put “Reasonable Accommodation” in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

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Business Area:

Dow Jones - Technology

Job Category:

Software Product Engineering

Union Status:

Non-Union role

Base Pay Range: 45,000 € - 65,000 €

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.