Senior Back-End Engineer AI

Publicis Groupe; Bogotá; Hybrid; COP 9,000,000 - 15,000,000; Full time

Job summary

Publicis Groupe’s Publicis Global Delivery (PGD) is seeking a Senior Backend Engineer focusing on AI in Bogotá. You will design and operate RESTful APIs and services, collaborating with data science and ML teams to build scalable backend systems.

You will develop in Python with FastAPI/Flask/Django, deploy in cloud environments, and leverage Docker/Kubernetes, vector search, and caching to deliver robust AI-enabled solutions. 1–3 years’ experience required.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 1-3 years professional software engineering experience delivering production-grade back-end services in cross-functional teams.

Responsibilities

• Design and implement RESTful APIs or GraphQL APIs.
• Develop backend services in Python using frameworks such as FastAPI, Flask, or Django.
• Handle deployment, monitoring, and maintenance in cloud/server environments (CI/CD, logs, metrics, tracing).
• Work with data and persistence layers (PostgreSQL/MySQL, indexing, query optimization).
• Familiarity with vector search platforms (ChromaDB, Pinecone, Qdrant) and caching (Redis).
• Apply solid software design principles and build maintainable microservices.
• Follow testing practices (unit/integration tests, contract testing).
• Experience with cloud deployments (AWS/Azure/GCP) and containerization; IaC is a plus.
• Knowledge of JSON and distributed-systems integration; XML familiarity is a plus.

Skills

Python

API design

PostgreSQL

FastAPI/Flask/Django

Docker

Kubernetes

Cloud (AWS/Azure/GCP)

Vector search (ChromaDB/Pinecone/Qdran

Redis

JSON/XML

Testing (unit/integration)

CI/CD

IaC

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Job description

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

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