Founding Engineer: Scale AI Platform with CTO Path

Albert Bow Limited

New York (NY)

On-site

USD 150,000 - 230,000

Full time

23 hours ago
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Job summary

Albert Bow Limited in New York is seeking a hands-on Founding Engineer to own the technology and build the engineering function from the ground up. You will work closely with the founders to set the technical vision and architecture as the platform scales.

This role offers genuine ownership, the opportunity to shape product strategy, and a clear pathway to CTO as the business grows. You’ll stay hands-on with AI workflows, data pipelines, and enterprise integrations while hiring and guiding early

Qualifications

  • Experience working in an early-stage or high-growth technology business.
  • Strong architecture and system design experience.
  • Experience building production-grade AI systems — not just prototypes.
  • Knowledge of AI workflows including LLM orchestration, RAG, and evaluation frameworks.

Responsibilities

  • Own the technical direction and architecture as the platform scales.
  • Stay hands-on with engineering, coding and technical decision-making.
  • Build scalable systems around AI, data and automation.
  • Develop production-grade AI workflows, including LLM orchestration, RAG and evaluation frameworks.
  • Solve complex problems around document processing, data extraction, search and retrieval.
  • Establish engineering standards and hire exceptional engineers as the team expands.
  • Work closely with founders on product and technical strategy.

Skills

Node.js
TypeScript
Elasticsearch
PostgreSQL
AWS/GCP

Job description

Albert Bow Limited in New York is seeking a hands-on Founding Engineer to own the technology and build the engineering function from the ground up. You will work closely with the founders to set the technical vision and architecture as the platform scales.

This role offers genuine ownership, the opportunity to shape product strategy, and a clear pathway to CTO as the business grows. You’ll stay hands-on with AI workflows, data pipelines, and enterprise integrations while hiring and guiding early

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