Trab
PreçosBlog

Applied AI Engineer na The General Intelligence Company of New York

Presencial - New York, NY

Candidatar-se

At General Intelligence Company (GIC), we’re building highly-capable autonomous agents for startups. Our goal is to enable the one-person, one-billion-dollar company. Our agents don’t just automate workflows - they replace them. You’ll work closely with our engineering and product teams to turn state-of-the-art ideas into real capabilities for our users.

What You’ll Do:

  • You'll be directly working on enabling AI agents to run companies without human oversight.
  • Design and run experiments to evaluate new agent architectures, prompting strategies, and tool-use approaches.
  • Build quick prototypes that demonstrate step-changes in agent capability and reliability.
  • Work directly with engineers to productionize successful research in a fast, iterative cycle.
  • Develop internal benchmarks and tooling to measure agent performance, hallucination rate, and task success.
  • Keep us at the bleeding edge by surveying literature, reproducing important papers, and sharing insights with the team.
  • Post your findings online from time to time.
  • Translate our core principles into your work: Cycle time is key, Quality matters, No backlogs, FITFO, Ownership mindset.

Who you are:

  • You possess 2+ years of engineering or applied machine learning experience.
  • You have an understanding of LLM product engineering, RAG, and agent architectures.
  • You follow current AI trends with a deep curiosity.
  • You're interested in memory systems for agents.
  • You're educated or experienced in computer science, cognitive science, or engineering.
  • You possess strong Python skills and are familiar with modern ML libraries.
  • You are comfortable reading papers put out by AI labs and research institutions.
  • You thrive in high-agency environments and take initiative.

Our stack:

  • Python, Langgraph, FastAPI, Typescript.
  • Cursor for code editing and every top frontier model for code generation.
  • Closed source frontier and open source LLMs via hosted providers.

What's different about GIC?:

  • No bureaucracy.
  • Real ownership.
  • Small, elite team.
  • Craft matters.

Other Requirements:

  • Live in or are willing to move to New York City.
  • You must be authorized to live in the United States.

Salary

USD 185,000 - 250,000/year

Requirements

Education

  • Computer science
  • Cognitive science
  • Engineering

Experience

  • 2+ years of engineering or applied machine learning experience

Skills

  • LLM product engineering
  • RAG
  • agent architectures
  • memory systems for agents
  • Python
  • modern ML libraries
  • reading papers
  • high-agency environments
  • initiative

Responsibilities

  • You'll be directly working on enabling AI agents to run companies without human oversight.
  • Design and run experiments to evaluate new agent architectures, prompting strategies, and tool-use approaches.
  • Build quick prototypes that demonstrate step-changes in agent capability and reliability.
  • Work directly with engineers to productionize successful research in a fast, iterative cycle.
  • Develop internal benchmarks and tooling to measure agent performance, hallucination rate, and task success.
  • Keep us at the bleeding edge by surveying literature, reproducing important papers, and sharing insights with the team.
  • Post your findings online from time to time.
  • Translate our core principles into your work: Cycle time is key, Quality matters, No backlogs, FITFO, Ownership mindset.

Technologies

PythonLanggraphFastAPITypescriptCursorLLMs via hosted providers

Descubra se seu currículo está pronto para esta vaga

Veja como nossa IA pode otimizar seu currículo e aumentar suas chances de conseguir esta posição.

© 2026 Trab. Todos os direitos reservados.