OverviewSenior Software Engineer in Barcelona building GenAI-powered features for Dow Jones.
You own end-to-end delivery of AI capabilities, work with data scientists and product teams, and mentor colleagues while staying hands-on.
You'll integrate LLM APIs, develop tooling for prompt management and observability, and improve CI/CD and production reliability.
This role blends backend, AI, and cloud work to scale AI-enabled news and business insights.
Compensaciones / BeneficiosComprehensive Healthcare Plans for you and your family
Extra paid Time Off (30 days per year)
Remote work possibility (3 months/year)
Meal benefit with Pluxee
Retirement Plans with company contribution
Well-being Resources (USD 200 quarterly)
ResponsabilidadesDesign and own end-to-end delivery of AI-powered features across the GenAI Experiences platform (backend to user interfaces)
Translate business requirements into reliable technical solutions with risk and tradeoff assessment
Integrate internal and third-party LLM and AI APIs to extend functionality
Develop tooling for prompt management, automated evaluations, and observability
Improve team processes: code quality, testing, observability, and CI/CD pipelines
Monitor and enhance production AI systems for reliability, performance,



and quality across the full stack
Participate in code reviews and apply MLOps practices for model versioning and experiment tracking
Stay updated on fullstack GenAI and IR technologies and leverage cloud infrastructure
Requisitos principalesBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related STEM field or equivalent experience
3-5 years of software engineering experience building and operating production systems
Strong Python skills and experience building scalable backend services and REST/GraphQL APIs
Experience with cloud infrastructure and services (AWS, GCP), Docker, Git
Exposure to deploying and monitoring machine learning models or generative AI systems in production
Familiarity with LangChain, LangGraph, LangSmith or equivalent frameworks
Exposure to MLOps tooling: model deployment, monitoring, experiment tracking, evaluation pipelines a plus
SQL proficiency and data pipeline tooling (Airflow or equivalent)
Cross-functional collaboration
Mentorship and technical leadership
Problem solving with a proactive, hands-on approach
Python
REST/GraphQL APIs
Cloud infrastructure (AWS, GCP)

📌 Senior Software Engineer, Ai (Barcelona)
🏢 Dow Jones
📍 Barcelona