Senior Applied AI Engineer - Enterprise Deployment EU

OpenAI, Inc.; Paris; Hybride; EUR 120 000 - 150 000; Plein temps

Résumé du poste

DeployCo is seeking a Senior Applied AI Software Engineer to lead the design, build, and deployment of enterprise AI systems. You will be the technical owner across customer engagements, shaping architecture and engineering standards for scalable production AI solutions.

You will mentor engineers, evaluate model behavior, and translate field learnings into reusable platform patterns. The role focuses on turning state‑of‑the‑art capabilities into reliable products in a hybrid France-based

Qualifications

• Senior software engineer with production-grade experience.
• Experience designing and building microservices and APIs.
• Experience with data pipelines and cloud infrastructure.

Responsabilités

• Lead software engineering workstreams for customer deployments, owning architecture and production readiness.
• Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
• Guide engineers through ambiguous problems, reviewing designs, code, and operating assumptions.
• Collaborate with customer technical teams and stakeholders to translate workflows into reliable AI systems.
• Prototype rapidly and identify reusable patterns to harden into reference architectures.
• Design evaluation and monitoring approaches to improve quality, reliability, and trust.
• Surface field insights to Product and Research to guide roadmap priorities.

Connaissances

Senior software engineering

Python

SQL

LLM

Agentic AI

APIs

Data pipelines

Cloud infrastructure

Leadership

Outils

OpenAI models

LLM APIs

Description du poste

DeployCo is seeking a Senior Applied AI Software Engineer to lead the design, build, and deployment of enterprise AI systems. You will be the technical owner across customer engagements, shaping architecture and engineering standards for scalable production AI solutions.

You will mentor engineers, evaluate model behavior, and translate field learnings into reusable platform patterns. The role focuses on turning state‑of‑the‑art capabilities into reliable products in a hybrid France-based