AI Platform Engineer — Build Scalable ML Features

Pylon Labs

San Francisco (CA)

On-site

USD 180,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Commuter benefits
Parental leave
14 company holidays
Unlimited PTO
Annual offsite
Lunch, dinner and snacks
Fitness stipend

Job summary

Pylon is seeking a highly capable engineer to join its team in San Francisco, working on an agentic support platform for B2B companies. The role emphasizes building AI-powered features, end-to-end ownership, and collaboration with a senior engineering group to scale the platform.

You will ship fast, iterate on prototypes, and enhance LLM observability while aligning with product goals and customer needs. Relocation to SF is encouraged for in-person collaboration.

Qualifications

  • 3+ years building product features with strong full-stack fundamentals.
  • Demonstrated ability to leverage AI for software development.
  • Experience navigating ambiguous startup environments and delivering autonomously.
  • Strong product sense with ability to translate customer requirements into code.

Responsibilities

  • Build features for post-Sales roles (Customer Support & Customer Success) using AI.
  • Prototype, iterate quickly, and ship features autonomously.
  • Develop platforms powering AI features: prompt execution and search infra.
  • Improve LLM observability: evals, scorers, and AI readiness for scale.
  • Own end-to-end work, project manage, and collaborate with PMs and designers.
  • Collaborate with senior engineers from top tech companies.

Skills

Full-stack development
AI-driven development
Product sense
Cross-functional collaboration

Tools

React
Golang
GraphQL
AWS

Job description

Pylon is seeking a highly capable engineer to join its team in San Francisco, working on an agentic support platform for B2B companies. The role emphasizes building AI-powered features, end-to-end ownership, and collaboration with a senior engineering group to scale the platform.

You will ship fast, iterate on prototypes, and enhance LLM observability while aligning with product goals and customer needs. Relocation to SF is encouraged for in-person collaboration.

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