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Open nowPosted 99 days ago

Senior BackEnd Engineer

Publicis Groupe Holdings B.V3,067 open roles

Where
San Jose, Costa Rica
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Your applicationOpen nowSenior BackEnd EngineerPublicis Groupe Holdings B.V · San Jose, Costa Rica

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Publicis Groupe Holdings B.V postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 99 days ago

Publicis Groupe Holdings B.V median: 2 days open

The posting

Company description Publicis Global Delivery (PGD); Publicis Groupe’s industry leading globally connected capability platform. Where talent, technology & operations combine to delivery amazing solutions for our clients. Expertise across Media, Data, Technology, Commerce & Production in all regions of the world. PGD is comprised of the best talent, and ways-of-working, which enables global scale, innovation and transformation, each day. Culture, growth and wellbeing underline all aspects of Publicis Global Delivery. #WeArePGD Overview As a Senior Software Engineer – AI & Platform Systems, you will design, build, and deploy intelligent, data-driven web platforms that integrate modern AI capabilities into scalable, maintainable solutions. You will operate as a senior technical contributor, owning solution architecture at the project level while collaborating closely with architects, product leaders, and cross-capability teams. You will help translate AI strategy into working systems—supporting experimentation, production deployment, and ongoing optimization—while maintaining high engineering standards and mentoring peers. Responsibilities Proven experience delivering production-grade web applications in small, cross-functional teams (agency or consultancy experience preferred Strong experience with Java, .NET/C#, or Python including: o Web services (RESTful APIs) | o Server-side frameworks (JSP, ASP.NET, or equivalents) Deployment and maintenance in server and cloud environments Solid understanding of modern AI-enabled architectures, including: o Consuming Large Language Models (LLMs) and AI APIs including MCP Retrieval-augmented generation (RAG) concepts and vector search integration o Prompt-based interaction and tool-using AI workflows. Experience integrating relational databases and designing data schemas to support web and AI-driven solutions Strong knowledge of HTML, CSS, and advanced JavaScript, including DOM manipulation, Ajax, and modern JS patterns Experience working with Content Management Systems (CMS) and digital platforms | Proficiency in XML / JSON and their role in distributed systems Solid understanding of object-oriented design, design patterns, and MVC architectures | Experience with cloud-based deployment (AWS, Azure, or GCP preferred) Working knowledge of web server and application server administration (Apache, Tomcat, IIS, Node, etc.) Strong SQL skills and understanding of relational data models Experience with testing methodologies, including unit, integration, and test-driven development Familiarity with web security practices, including SSL, authentication, and authorization | Experience building accessible, standards-compliant web applications Strong understanding of the current state of AI models, tools, Retrieval Augmented Generation, and Django/python Nice to have: Experience with Python-based services supporting AI or data pipelines | Hands-on experience with prompt engineering, AI agents, or orchestration frameworks | Familiarity with vector databases and embeddings | Experience working alongside data science or ML teams | Exposure to AI governance concepts such as bias awareness, explainability, or human-in-the-loop systems | Comfort using generative AI tools (e.g., ChatGPT, Gemini, Claude) for development, ideation, or research. Qualifications Bachelors degree or equivalent experience, with 3- 5 years of professional software engineering experience

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