Applied AI Engineer - Remote, AI-Driven Coaching Platform

Rnb Consultancy

San Francisco (CA)

Remote

USD 180,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Fully remote
Equity

Job summary

Rnb Consultancy is hiring two applied AI engineers for a fully remote, US-based team. You will own AI features built on foundation models, create agent experiences for coaches and members, and build pipelines integrating familiar work tools.

Expect a fast-paced, mission-driven environment with strong ownership and collaboration across design and coaching teams. Ideal candidates have 8–10 years as a full-stack engineer, production AI experience, an AI-assisted coding workflow, and comfort

Qualifications

  • 8–10 years as a full-stack engineer with strong product instincts.
  • AI and data features live in production, used by real people. Applied AI in a product, not ML research or data engineering.
  • An AI-assisted coding workflow you've deliberately sharpened, with validation and automation built in.
  • Solid server-side and web experience; you switch stacks without drama.
  • Startup DNA: high ownership, fine with ambiguity, driven by the mission.
  • You can take someone through a past project, explain each technical decision clearly, and say what you'd change.

Responsibilities

  • New AI features built on foundation models, from zero, designed to adapt, be reused and grow.
  • Agent experiences that turn what coaches know and how they work into something members genuinely use.
  • Pipelines and integrations with the work and learning tools people already rely on.
  • Shipping often, making the trade-offs, and helping colleagues get better at AI and data.

Skills

Full-stack
AI in prod
Coding workflow
Server-side
Startup DNA
Communication

Tools

Foundation models

Job description

Rnb Consultancy is hiring two applied AI engineers for a fully remote, US-based team. You will own AI features built on foundation models, create agent experiences for coaches and members, and build pipelines integrating familiar work tools.

Expect a fast-paced, mission-driven environment with strong ownership and collaboration across design and coaching teams. Ideal candidates have 8–10 years as a full-stack engineer, production AI experience, an AI-assisted coding workflow, and comfort

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