AI Developer Senior

Publicis Groupe

ESonsitePosted May 27, 2026
Posting intelligenceListed a whileReposted 27×, possible evergreen/ghost posting

Skills

azure devopspostgressqlalchemylangchaindockergithubpythonopenaiazurecicdgooglecloudllm

About the role

We are looking for a AI Developer Senior to play a key role in designing, shaping, and evolving the next generation of agent-based architectures.

You will work closely with cross-functional teams to build innovative solutions that transform how brands operate, make decisions, and create value.

You will lead the design and development of the backend architecture powering conversational agents and LLM-based systems, ensuring scalability, robustness, and long-term evolution.

You will work on:

Orchestrating intelligent agents and multi-agent systems

Integrating foundation models (e.g. Google Gemini, Azure OpenAI)

Designing scalable APIs, including real-time streaming capabilities

Building cloud-ready infrastructure for production environments

Your work will directly impact tools used by strategy, media, creative, and data teams.

AI Agent Development

Design and build AI agents using frameworks such as Google ADK, LangChain, or similar

Implement complex workflows with tool calling (search, retrieval, APIs, databases)

Optimize prompts and evaluate response quality

Backend & APIs

Develop asynchronous APIs using FastAPI

Design modular and scalable architectures

Implement real-time streaming endpoints (SSE, WebSockets)

LLM Integration

Integrate with APIs like Google Gemini or Azure OpenAI

Manage context, grounding, citations, and metadata

Optimize token usage and control costs

Infrastructure & Cloud

Containerize services using Docker

Deploy and manage applications in cloud environments (GCP, Azure, etc.)

Handle secrets securely (Key Vault, Secret Manager, etc.)

Implement advanced observability (logging, metrics, alerting, tracing)

Data & Persistence

Work with PostgreSQL and SQL-based systems

Use ORMs such as SQLAlchemy

Manage session history, traceability, and data flows

Engineering Quality

Write clean, maintainable, and well-documented code

Apply testing practices (unit, integration, E2E when needed)

Follow SOLID principles, Clean Architecture, and DDD when relevant

Ensure proper versioning (Git), branching strategies, and code reviews

Build resilient, fault-tolerant systems for production

Strong product mindset, focused on business impact and end-user value

Experience working in Agile environments with cross-functional teams

Solid backend experience in Python, building scalable services

Strong experience with asynchronous development (FastAPI or similar)

Hands-on experience integrating LLMs into production systems

Deep understanding of clean code, SOLID principles, and software design

Experience with modern architectures (hexagonal, clean architecture, etc.)

Strong knowledge of SQL databases and data modeling

Ability to make technical decisions with a long-term architectural vision

Nice to Have

Experience with agent frameworks (Google ADK, LangChain, LlamaIndex)

Experience working with Google Cloud

CI/CD experience (GitHub Actions, Azure DevOps)

Real-time streaming implementations

Knowledge of RAG (Retrieval-Augmented Generation)

Experience in marketing, media, or data environments

We’re looking for someone who

Enjoys building from scratch

Has strong technical judgment and architectural vision

Is pragmatic and product-oriented

Understands that AI without business impact is just a demo

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