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 General Delivery.
#WeArePGD Overview Come and be part of the team as one of the new Senior Backend Engineer focusing in AI.
Responsibilities Python expertise building and operating APIs/services, including: Designing and implementing RESTful APIs (or GraphQL where relevant) Python back-end frameworks such as FastAPI, Flask, or Django Deployment, monitoring, and maintenance in cloud/server environments (CI/CD, logs, metrics, tracing) Strong experience with data and persistence layers, including: Relational databases (PostgreSQL/MySQL/etc.), schema design, indexing, and query optimization Familiarity with vector search concepts and platforms (e.g., ChromaDB, Pinecone, Qdrant) Knowledge of caching and performance patterns (e.g., Redis) is a plus Solid understanding of software design principles (object-oriented design, modular architecture, design patterns) and building maintainable service-oriented systems Awareness with testing methodologies (unit/integration tests,



contract testing) and engineering quality practices Awareness with cloud-based deployment (AWS, Azure, or GCP preferred), including containers/serverless where appropriate; infrastructure-as-code is a plus Proficiency with JSON and distributed-systems integration patterns; XML familiarity is a plus where legacy integrations exist Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience), with 1-3 years professional software engineering experience Proven experience delivering production-grade back-end services in small, cross-functional teams (agency/consultancy experience a plus) Additional information Experience working alongside data science, media, or ML teams Understanding of generative AI engineering and LLM system design, including: Practical knowledge of how LLMs behave (e.g., token limits/context windows, embeddings, latency/cost tradeoffs, hallucination risks) Experience integrating LLM providers and AI APIs (e.g., OpenAI/Azure OpenAI/Anthropic, or open-source models), including tool/function calling patterns and MCP 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 Experience working with Docker containers and Kubernetes pods #J-*****-Ljbffr

📌 Senior Back-End Engineer Ai (Bogotá)
🏢 Publicis Groupe Holdings
📍 Bogotá