Equativ
Technology
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Equativ. Skills: AI agents, GenAI stack, Python development, Agentic systems. Design AI agents. Develop AI agents”
What You'll Achieve.
Automate workflows for non-technical teams; Provide autonomous AI assistants
Industry & Context.
Translate workflows into agentic solutions; Turn vague business goals into concrete features
What They're Looking For.
Must Have
Master's degree in Computer Science, 3+ years as Python Developer, 3+ years as ML Engineer, Recent focus on deploying LLM-powered solutions, Mastery of Python for enterprise development, Knowledge of core software engineering principles, Hands-on experience with AIOps/MLOps, Fluent technical English
Nice to Have
Google ADK experience, Langchain experience, LangGraph experience, Practical experience with cloud platforms, Experience deploying scalable GenAI services
What You'll Do.
Partner with stakeholders
Understand pain points
Explain design choices
Own production codebase
Enforce software engineering principles
Bring AIOps best practices
Ship agentic systems end-to-end
Detect platform-level gaps
Formulate requests to Core Platform team
Build expertise in agentic design patterns
Share expertise with AI champions
How You'll Work.
Team & Collaboration
Non-technical stakeholders; Operations teams; GenAI Core Platform team; Other R&D teams; Internal AI champions; Internal AI builders
Communication Scope
Technical English
Process & Methodology
Agile environment
Full Job Description
## Description About the team At Equativ, we're on a mission to develop advertising technologies that empower our customers to reach their digital business goals. The impact of Generative AI on the industry is projected to be major, and Equativ has been undergoing a significant transformation to embed this technology at the core of our value proposition. The GenAI team is a new, strategic unit (6–8 people) responsible for the design, development, and deployment of Equativ's entire GenAI stack. It is split into two complementary pillars: Core Platform — designing and building a reusable, industrialized Agentic Platform (MaaS, AaaS — Model/Agent as a Service) to accelerate agent development across the company. Business Feature — the team you'll be joining. We develop and deploy mission-critical AI agents that automate workflows for non-technical internal teams (operations, ad quality, marketplace, finance support, etc.). Our backlog targets people who today rely on manual processes and ad-hoc tooling — your work will give them autonomous, measurable, production-grade AI assistants. This team is part of the R&D department (200+ engineers across Paris, Nantes, Limoges, Krakow, Berlin and North America), all working in an Agile environment. ## What you will do Design, develop, and deploy goal-oriented AI agents and full agentic systems using Google ADK and n8n, automating high-impact workflows inside operational teams. Partner directly with non-technical stakeholders — sit with operations teams, understand their pain points, translate workflows into agentic solutions, and explain your design choices in language they actually understand. This is roughly half the job. Be the team's Python referent. You will own the production codebase, enforce strong software engineering principles (unit tests, CI/CD, Git, code review), and bring AIOps/AgentOps best practices to the team (observability, versioning of agent blueprints, eval pipelines). Ship complete agentic systems end-to-e
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