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Python Backend EngineerBayOne Solutions • United States
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Python Backend Engineer

BayOne Solutions
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Job Title Senior Backend Engineer - AI Enablement & Strategy Overview
Sephora is seeking a highly proactive, strategic
Senior Python Backend Engineer
with strong AI exposure to help teams do more with less by improving systems, workflows, and decision-making through intelligent tooling. This role is not about executing predefined tasks - it is for a
problem solver and collaborator
who can assess existing architecture, design best-fit solutions, and help define the path forward in a rapidly evolving environment.
This individual will work closely with cross-functional teams, acting as a thought partner who augments human interactions and enables teams to operate more efficiently.
Key Responsibilities • Act as a
strategic problem solver
, not just a task executor • Evaluate existing backend systems and architecture;
design and recommend best-fit solutions • Apply AI tools and services to
improve workflows, automation, and decision-making • Partner closely with engineering, QA, and platform teams to
enable and unblock others • Provide guidance on
model selection and technology tradeoffs
(no model training required) • Help define structure and direction in areas that are still evolving • Collaborate effectively in high-ambiguity environments; influence without authority • Support a "
do more with less
" mindset through smart system design and prioritization
Required Qualifications • Strong
backend engineering background
(Python preferred) • Hands-on experience with modern
AI tools and services
(e.g., LLMs, agent frameworks, AI platforms) • Working knowledge of
AI/ML concepts and models
(selection, evaluation, applicability) • Ability to reason about architecture, scalability, and system design • Proven ability to work autonomously and proactively in loosely defined problem spaces • Excellent communication and collaboration skills
Nice to Have • Experience building or prototyping
AI-enabled workflows or agent-based systems • Exposure to QA, automation, or platform enablement teams • Experience in
retail, e-commerce, or consumer-facing environments • Background working in Centers of Excellence or enablement-focused teams
What This Role Is Not • Not a task-only execution role • Not a frontend or full-stack position • Not a pure ML research or model-training role • Not a principal-level or overly senior position
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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