---
title: 'Applied AI Engineer - Agent at The General Intelligence Company of New York'
canonical: 'https://feeny.ai/job/applied-ai-engineer-agent-the-general-intelligence-company-of-new-york-new-york-xn2bzsf6cxrn'
type: 'job'
last_seen: '2026-09-13'
---

# Applied AI Engineer - Agent at The General Intelligence Company of New York

- **Company:** The General Intelligence Company of New York
- **Location:** New York, NY
- **Compensation:** $250k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-09-29
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/generalintelligencecompany/4bc5d479-3bba-432d-887f-423847aa650a

## Job description

We’re hiring an Applied AI Engineer to push the boundaries of our Cofounder agent. You’ll own core backend systems and applied LLM work: advancing agent reliability and autonomy, building evaluation pipelines, and shipping techniques that measurably improve agent performance. This is a hands-on role with high ownership across research-to-production: prototyping, instrumenting, evaluating, and deploying improvements that show up directly in user outcomes.

## What You’ll Do

- Design and implement agent improvements end-to-end: prompting strategies, tool selection, action planning, memory usage, safety/guardrails, and recovery paths
- Build robust evaluation pipelines for the agent: offline evals (golden tasks, regression suites, behavior tests), online metrics (latency, success rate, fallout modes, cost efficiency), and experimentation frameworks (A/B, canaries, guardrail thresholds)
- Productionize applied LLM techniques: function/tool-calling orchestration, self-reflection, retrieval/RAG, multi-agent handoffs, caching/embedding strategies, and hallucination reduction
- Improve core backend systems: reliable job orchestration, retries/backoff, idempotency, and auditability; scalable memory and context routing; data pipelines across Gmail, Slack, Notion, Linear, Google Workspace, etc.; observability and tracing for agent actions/outcomes
- Partner with product and infra to define success metrics and ship fast, safe iterations
- Write clean, well-tested code; document design decisions and runbooks

## What You’ll Bring

- 4+ years backend engineering experience, preferably Python (we care about impact over years)
- Hands-on LLM experience: prompt engineering, function-calling, retrieval, embeddings, evaluation design; you’ve shipped LLM features to production
- Track record building evaluation harnesses and using them to drive improvements (regression suites, task success metrics, cost/runtime tradeoffs)
- Solid distributed systems fundamentals: concurrency, reliability, performance, data modeling, lifecycle management
- Pragmatic experimentation: hypothesis → prototype → measured improvement → rollout
- Excellent debugging and instrumentation skills; you enjoy finding and fixing edge cases in the wild

## Nice To Have

- Experience with agent frameworks, tool orchestration, and memory architectures
- RAG systems in production (chunking, retrieval quality, freshness strategies)
- Redis, Postgres/Supabase, queues (e.g., Celery/Arq/SQS), and event-driven designs
- Observability stacks (Datadog, OpenTelemetry), and cost/latency optimization

## Why Join Us

- Mission: build autonomous agents that run entire businesses
- Impact: ship core agent improvements that users feel immediately
- Velocity: small, senior team; fast decision cycles; high ownership
- Stack: modern tooling across AI orchestration, integrations, and memory systems

## Compensation

- Competitive salary and meaningful equity
- Comprehensive benefits and flexible work setup

## About The General Intelligence Company of New York

## Company Overview
- **One-liner**: The General Intelligence Company is building AI agents that run entire businesses autonomously, enabling a one-person billion-dollar company.
- **Entity Type**: Private (Seed stage; raised $8.7M Seed round in December 2025)
- **Headquarters**: New York, New York, United States (also has an office in San Francisco)
- **Founded**: January 2025
- **Founders**: Abhishyant Khare (Cofounder, CTO) and Andrew P. (Co-founder, CEO)

## Core Business
- **Primary industry**: Applied AI / Enterprise Automation / Agentic Platforms
- **Target customers**: Entrepreneurs, small business owners, and anyone wanting to start or run a business using autonomous agents (B2B, SMB, solopreneurs)
- **Mission**: To enable the one-person one-billion dollar company – a world where anyone with an idea can start and run a business with AI agents.

## Products & Services
- **[Cofounder](https://cofounder.co)**: An agentic platform that lets users automate their entire business using natural language. Cofounder can handle functions like coding, customer support, marketing, sales, and cross-functional coordination. It evolved from a single-agent tool (Cofounder 1.5) to a multi-agent orchestration platform (Cofounder 2) that runs an entire company with agents.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of $10.7M across two rounds:
  - Pre-Seed (May 2025): $2.0M led by Compound and Acrew Capital
  - Seed (December 2025): $8.7M led by Union Square Ventures, with participation from Acrew Capital, Compound, Scott Belsky, Yohei Nakajima, Agent Fund, Mute Ventures, and others
- **Notable Investors/Partners**: Compound, Acrew Capital, Union Square Ventures, Scott Belsky, Yohei Nakajima
- **Growth Signals**: 
  - Headcount grew from ~1 to 11 employees (+500% YoY) in its first year
  - SOC-2 certified (December 2025)
  - Launched Cofounder 2 (agentic companies platform) in May 2026
  - Introduced The General Intelligence Fellowship (March 2026) offering $1,000 upfront + $100/day in credits
  - Strong LinkedIn follower growth (+18.7% monthly, reaching 3,634 followers)

## Competitive Advantages
- **Full-stack business automation**: Unlike narrow AI agents that handle only one function (e.g., coding or customer support), General Intelligence is building a coordinator agent that orchestrates swarms of agents across all business functions.
- **Agent-native engineering**: The company practices what it calls “Agent Native Engineering” – engineers ship 20+ PRs daily using heavy AI tooling, enabling extreme velocity.
- **Design-forward culture**: They emphasize beautiful, functional products, not just utilitarian AI tools.
- **First-mover in “agentic companies”**: They are explicitly targeting the vision of a fully autonomous company, a frontier most AI labs are only beginning to explore.

## Strategic Focus
- **Enable the one-person billion-dollar company**: The core strategic bet is that small teams (or even one person) armed with powerful agents can run vast, complex businesses.
- **Continuous platform evolution**: From Cofounder 1.0 to 1.5 (improved memory) to Cofounder 2 (multi-agent orchestration) – rapid iteration based on user feedback.
- **Talent density**: Hiring only “founding” engineers and researchers, maintaining a flat organization with no silos, and a culture of extreme cycle time.

## Why Work Here
- **Culture highlights**: 
  - “No Bullshit Meetings” – only meet when needed and with the right people.
  - “Cycle Time” is everything – ship fast, learn fast.
  - “No Backlog” – if an idea is good it will come back; otherwise it’s noise.
  - “No Silos” – flat organization, everyone works across product, engineering, and users.
  - “Design Culture” – products must be beautiful, not just functional.
  - “Speed Over Everything” and “Delete the Part” – cut anything that doesn’t add value.
- **Remote/Hybrid/Office**: Primarily in-office in New York City (HQ) with a San Francisco office. The careers page lists roles as “Full Time” with no explicit remote tag, suggesting strong in-person presence.
- **Notable perks/engineering culture**: 
  - Engineers are expected to use the best AI tooling without limits – “one of the most AI-forward companies in the world.”
  - Small, dedicated teams with intense focus.
  - High ownership – all early hires are “Founding” roles (e.g., Founding Designer, Founding Backend Engineer).
  - The company believes in “working hard and living a fulfilling life” – a balance of intensity and quality of life.

## Sources
1. [generalintelligencecompany.com](https://www.generalintelligencecompany.com/)
2. [generalintelligencecompany.com/careers](https://www.generalintelligencecompany.com/careers)
3. [generalintelligencecompany.com/about](https://www.generalintelligencecompany.com/about)
4. [linkedin.com/company/the-general-intelligence-company-of-new-york](https://www.linkedin.com/company/the-general-intelligence-company-of-new-york)
5. [jobs.ashbyhq.com/generalintelligencecompany](https://jobs.ashbyhq.com/generalintelligencecompany)

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- [Game Designer - Cofounder](https://feeny.ai/job/game-designer-cofounder-the-general-intelligence-company-of-new-york-new-york-g2d5tckshtsb) — New York, NY
- [Head of Agentic Marketing](https://feeny.ai/job/head-of-agentic-marketing-the-general-intelligence-company-of-new-york-new-york-tps35q7mqtkz) — New York, NY
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