AI Engineer, Frontier Agent Systems (Hybrid: London/Paris)

Dex

Greater London

Híbrido

GBP 90.000 - 150.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Dex is seeking a Member of Technical Staff to own ambiguous research-engineering problems across data curation, model fine-tuning, and agent execution harnesses. This role blends research with production, applying SFT and RL to build hardened systems that scale.

Based in or willing to work hybrid from London or Paris, you will collaborate with software and curriculum engineering teams, translate open-ended AI questions into technical plans, and drive multi-month technical initiatives.

Formación

  • Direct, hands-on experience fine-tuning or post-training models using SFT or RL.
  • Deep technical grounding in AI/ML fundamentals around model optimization, RLHF, and evaluation design.
  • Strong Python foundations and software engineering discipline.
  • Ability to break down open-ended research-engineering questions and drive complex technical initiatives.
  • Based in or willing to work hybrid from London or Paris.

Responsabilidades

  • Design, curate, and scale training-data and synthetic-data pipelines purpose-built for agent training across complex digital workflows.
  • Fine-tune and post-train models using supervised fine-tuning and reinforcement learning methods, establishing rigorous feedback loops and evaluation suites.
  • Develop and harden agent harnesses and sandboxed execution environments that reliably connect models to real, interactive software tasks.
  • Translate open-ended, ambiguous AI questions into technical plans and production-ready systems alongside software and curriculum engineering teams.
  • Drive technical decisions and coordinate complex engineering efforts across the team without relying on line-management hierarchy.

Conocimientos

Fine-tune models (SFT/RL)
Python
Production-grade code
Ambiguity-driven research engineering
Collaboration across teams

Descripción del empleo

Dex is seeking a Member of Technical Staff to own ambiguous research-engineering problems across data curation, model fine-tuning, and agent execution harnesses. This role blends research with production, applying SFT and RL to build hardened systems that scale.

Based in or willing to work hybrid from London or Paris, you will collaborate with software and curriculum engineering teams, translate open-ended AI questions into technical plans, and drive multi-month technical initiatives.

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