{"id":1343897,"url":"https://alion.io/job/publicisgroupe-ai-full-stack-engineer","title":"AI Full Stack Engineer","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San José, Costa Rica"],"countries":["CR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":66000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":585},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Angular","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"React.js","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"C#","optional":true},{"name":"Databricks","optional":true},{"name":"Embeddings","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-27T16:03:59Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-01T12:27:33Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Company Description\nPublicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients.\nFormed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,000+ employees in over 55+ countries. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. Our people are at the center of everything we do, bringing curiosity, collaboration, and a commitment to excellence to their work every day.\nWe continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at Publicis Resources - A Publicis Groupe Company.\nOverview\nPublicis Groupe is building a modern, scalable data and analytics ecosystem powered by AI-driven intelligence. We are seeking an AI Full Stack Engineer to design, develop, and integrate end-to-end solutions that combine advanced machine learning capabilities with robust, user-facing applications. This role sits at the intersection of AI/ML, software engineering, and data platforms, enabling the development of intelligent features that enhance data ingestion, discovery, automation, and insights across the platform. You will work closely with data engineers, UX designers, product teams, and DevOps engineers to deliver scalable, high-performance solutions that bring AI into real user workflows\nResponsibilities\nAI & Machine Learning Integration\nDevelop, deploy, and maintain machine learning models within production environments\nBuild AI-driven features such as classification, anomaly detection, recommendation systems, and data enrichment\nIntegrate AI/ML models into applications via APIs and microservices\nMonitor, evaluate, and continuously improve model performance and reliability \nFull Stack Development\nDesign and build end-to-end features across front-end and backend systems\nDevelop responsive, high-performance user interfaces using modern frameworks (e.g., React, Angular)\nBuild and maintain scalable backend services and APIs supporting data workflows\nEnsure seamless integration between UI components, AI services, and data pipelines \nData Platform Integration\nWork with large-scale ETL pipelines and data processing systems\nIntegrate applications with structured and semi-structured data sources\nCollaborate with data engineering teams to optimize data flows and performance \nCloud, DevOps & Scalability\nDeploy applications and models in cloud environments\nContribute to CI/CD pipelines, automated testing, and DevOps best practices\nEnsure scalability, security, and reliability of systems\nWork with containerized applications and microservices architectures \nCollaboration & Best Practices\nPartner with UX teams to ensure AI outputs are intuitive and actionable\nParticipate in code reviews and enforce engineering standards\nTroubleshoot and resolve issues across the full stack\nDocument solutions and contribute to knowledge sharing\nQualifications\nBachelor’s degree in Computer Science, Engineering, Data Science, or related field\n 4+ years of experience in software engineering, full stack development, or AI/ML engineering\nStrong programming skills in Python and at least one backend language (Node.js, Java, .NET, Go.)\nExperience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)\nExperience with front-end frameworks (React, Angular, or similar)\nExperience designing and consuming RESTful APIs\nFamiliarity with ETL pipelines and data platforms\nExperience working with SQL and NoSQL databases\nKnowledge of cloud platforms (AWS, Azure, or GCP)\nExperience with containerization (Docker, Kubernetes is a plus)\nUnderstanding of CI/CD pipelines and DevOps practices\nStrong problem-solving, debugging, and analytical skills\nFluent in English\nPreferred Qualifications\nExperience building AI-powered features in production applications\nFamiliarity with Databricks, data warehouses, or BI tools\nExperience with MLOps practices (model lifecycle management, monitoring, versioning)\nExposure to LLMs, embeddings, or generative AI applications\nExperience with microservices architecture\nBackground working in data-intensive or analytics platforms","description_format":"text","description_chars":4505,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T16:03:59Z"}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.576,"p_room":0.45,"age_days":3,"expected_fill_days":2,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/publicisgroupe-ai-full-stack-engineer","json_url":"https://alion.io/job/publicisgroupe-ai-full-stack-engineer.json","meta":{"generated_at":"2026-10-01T18:03:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":294,"day_limit":5000,"remaining_today":4706,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}