9 hours ago
Paris, FranceSenior
Responsibilities
- Partner with engineering leaders and developers to identify high-value Codex opportunities and define architectures, implementation plans, evaluation strategies, and success criteria.
- Design, build, and deploy AI-powered software development workflows, integrations, automations, and production accelerators.
- Create prototypes, evaluation harnesses, reference implementations, developer tooling integrations, and reusable architectures.
- Help customers move from experiments to reliable production workflows, sustained adoption, and scaled organizational impact.
- Evaluate AI coding systems using representative tasks, automated graders, production signals, and developer feedback.
- Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve technical blockers.
- Lead technical deep dives, workshops, and hands-on enablement for engineering organizations.
- Translate deployment insights into product proposals, model feedback, and technical requirements for Product, Research, and Engineering teams.
Requirements
- Demonstrated experience designing, building, and delivering software or AI systems in enterprise environments from prototype through production.
- Substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering.
- High proficiency in Python and comfort working across modern software development environments.
- Experience with JavaScript, TypeScript, or another relevant programming language is valuable.
- Active use of AI coding tools and a strong perspective on improving developer productivity and software engineering workflows.
- Understanding of systematic evaluation for AI coding systems, including representative tasks, automated evaluations, production signals, and developer feedback.
- Experience with enterprise requirements including developer tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Ability to connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes.
- Ability to communicate credibly with engineers, engineering leaders, security teams, product leaders, and executives.
- Ability to lead technical workshops and hands-on adoption sessions.
- High agency, strong technical judgment, end-to-end ownership, rapid learning, and collaborative humility.
- Fluent English and French communication skills.
Benefits
- Hybrid work model requiring three days per week in the London office.
- Relocation assistance is offered to new employees.
- Equal opportunity employment and reasonable accommodation support are provided.
Tech Stack
Categories
Forward Deployed
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.