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Full Stack AI Engineer (Palo Alto)
Full Stack AI Engineer (Palo Alto)KE Technology • Palo Alto, CA, United States
Full Stack AI Engineer (Palo Alto)

Full Stack AI Engineer (Palo Alto)

KE Technology • Palo Alto, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Senior Full Stack AI Engineer needed by early-stage startup building a powerhouse platform to transform enterprise AI adoption. Led by a team with an exceptional track record - backed by significant funding, long runway, and a healthy queue of enterprise customers ready to engage - theyre assembling an A-grade engineering group to deliver one of the most exciting products on the market : an AI workbench that ingests messy workflows, automates them end-to-end, and learns to codify human decision-making.

As a Senior Full Stack AI Engineer, youll build and deploy AI features that plug directly into enterprise workflows, working across teams to rapidly iterate and ship high-impact, production-ready capabilities.

Whats on Offer

  • Up to $300,000
  • Strong Bonus scheme
  • Competitive equity
  • Hybrid in Palo Alto (3 days onsite)

What Youll Do

  • Build and ship AI-powered features across the front end, back end, and platform.
  • Apply advanced AI techniques LLMs, RAG, embeddings, agents, document processing, and workflow automation.
  • Prototype quickly using real workflow data and user feedback to guide product direction.
  • Integrate AI into user-facing features with strong guardrails , reliability , and thoughtful UX .
  • Optimize models and pipelines for performance, accuracy, latency, safety, and scalability.
  • Contribute to architecture reviews , shaping design decisions with an AI-first perspective .
  • Ensure production readiness through testing, observability, performance validation, and resilience planning.
  • Work with PM and Delivery to understand workflow requirements and refine product behavior.
  • Contribute to core platform foundations libraries, abstractions, prompt frameworks, and reusable components

    • Requirements

  • BS degree (Masters preferred)
  • Strong experience building AI-enabled software systems
  • Appetite for and exposure to 01 environments
  • Proficiency with AI techniques LLMs, RAG (agents a bonus)
  • Solid coding fundamentals across modern AI engineering stacks
  • Proven history of real-world deployments with measurable impact
  • Familiarity with enterprise workflows and data challenge

    • Why Join

    Help tackle a massive enterprise challenge : transforming invisible workflows into a continuously improving AI workbench - without replacing systems, rewriting processes, or forcing data centralisation. From day one, youll shape a scalable AI platform already seeing huge demand. Youll work with a proven leadership team to embed AI deeply into real operations and build the core systems and breakthroughs that will define the next generation of enterprise AI.

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