---
title: 'Software Engineer Intern at Haize Labs'
canonical: 'https://feeny.ai/job/software-engineer-intern-haize-labs-new-york-ate86k6c6yvz'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer Intern at Haize Labs

- **Company:** Haize Labs
- **Location:** New York, NY
- **Posted:** 2025-05-15
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/haizelabs/jobs/4685944008

## Job description

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:

- Data-efficient alignment of evaluation models
- Dynamic testing of AI applications
- Observability and anomaly detection
- Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere.

Annual Salary

$100,000 – $125,000 USD

## Responsibilities

- Work directly with customers to adapt our core R&D for different domains.
- Build out core infra, cloud tooling, and UX around our algorithms.
- Ship delightful tools that are used by AI application developers all across the world.

## Qualifications

- High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
- Strong open source presence or strong track record of software engineering projects and employment.
- Experience with ML in an applied setting.
- Can ramp up quickly to understand our research.

Logistics

- Location policy: In NYC.
- US visa sponsorship: If you are exceptional, we will sponsor.
- Compensation and Benefits: We provide generous salary, equity, and benefits

We're Not Here to Play Games.

We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready.

Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.

We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

## About Haize Labs

## Company Overview

- **One-liner**: Haize Labs builds a reliability platform for AI agents, enabling safe, production‑ready autonomous systems through adversarial testing, guardrails, and continuous improvement.
- **Entity Type**: Private (Seed round of $12.5M led by General Catalyst; some sources label it Series A – conflicting reports) [cbinsights.com](https://www.cbinsights.com/company/haize-labs) [join.haizelabs.com](https://join.haizelabs.com/)
- **Headquarters**: 222 Broadway, New York, New York 10007, United States [cbinsights.com](https://www.cbinsights.com/company/haize-labs)
- **Founded**: 2023 [cbinsights.com](https://www.cbinsights.com/company/haize-labs)
- **Founders**: Leonard Tang (Co‑Founder, CEO) and Steve Li (Co‑Founder) [haizelabs.com/about](https://www.haizelabs.com/about)

## Core Business

- **Primary industries**: AI reliability / safety, AI agent development, enterprise AI infrastructure.
- **Target customers**: B2B, Enterprise, and Government – including frontier AI labs, Fortune 500 banks, insurers, gaming companies, and national governments.
- **Mission**: “Solve the hardest problem in AI: making it reliable in the real world.”

## Products & Services

- **Reliability Harness** – A platform for deploying AI agents with 99.9% reliability. Includes:
  - **Red‑Teaming**: Automated adversarial and fuzz testing to discover vulnerabilities.
  - **Simulation Testing**: Exhaustive scenario validation before deployment.
  - **Guardrails**: Runtime constraints to keep outputs within policy boundaries.
  - **Supervisors**: AI monitors trained to oversee other agents for consistent performance.
  - **Annotation Tooling**: Labeling and evaluation tools to capture human nuance.
  - **Ongoing Improvement**: Continuous enhancement based on production interactions.
- **Judge**: Model‑based evaluators trained via scaled inference‑time compute.
- **Monitor**: Real‑time tracing, monitoring, and observability.
- **Robustify**: Continual improvement against bugs uncovered by Haize testing.
- **Professional Services** (Engagement Design): Agent development, knowledge transfer, exploratory phase, and validation against human experts.

## Market Standing

- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of $12.5M (Seed round; some sources list as Series A – conflicting reports).
- **Notable Investors**: Lead – General Catalyst. Also AI Grant Batch 4, and angel investors including the founder of Okta, former CISO of Google, CEO of Weights & Biases, CEO of Cognition Labs, CEO of Pika Labs, CEO of Replit, CTO of CodeSignal, CSO of HuggingFace, CEO of Etched, and others.
- **Advisors**: CISO of Databricks / Robinhood / Capital One, NYU Alignment Research Group professor, inventor of t‑SNE / Head of Llama Team at Meta AI, former Head of Responsible AI at Twitter/Accenture.
- **Growth Signals**: Customers include Anthropic, OpenAI, AI21 Labs, a Fortune 500 bank, top‑3 North American insurer, Canadian airline, $30B gaming company, Government of Singapore, and European digital bank. Media coverage in Washington Post, Business Insider, Forbes, PitchBook, VentureBeat. Founder named to Forbes 30 Under 30 (2025).

## Competitive Advantages

- **Deep focus on reliability** as the core AI problem, not side‑channels or wrapper products.
- **Proprietary Reliability Harness** combining red‑teaming, simulation, guardrails, and supervisor models.
- **Top‑tier team**: members from Stanford (PhD dropout), Citadel, Hudson River Trading, Harvard PhD, Datadog LLM observability founding engineer, and nonprofit founders.
- **Early partnerships** with frontier labs and large enterprises, giving unique exposure to real‑world deployment challenges.

## Strategic Focus

- Rapidly move AI agents from “POC purgatory” to production with guaranteed reliability.
- Become the “alignment layer” powering every AI system, for every use case, in every industry.
- Continue expanding customer base across finance, insurance, gaming, government, and beyond.

## Why Work Here

- **Culture**: “High‑agency, low‑ego” team; solve the hardest technical problem in AI; intense learning environment with “unmatched excellence.”
- **Work style**: Hybrid presence in New York (222 Broadway) and San Francisco. Open roles include engineering (Product Slinger, Software Engineer Intern, Staff+ Backend & Infra, Vertical AI Lead) and research (Applied Researcher, Research Intern).
- **Notable perks**: Work directly with top researchers and engineers; impact on AI safety at scale; early‑stage equity and fast‑paced decision making.
- **Engineering culture**: Emphasis on deep technical work, push to production quickly, collaboration with frontier labs.

## Sources

1. [haizelabs.com](https://haizelabs.com/)
2. [job-boards.greenhouse.io/haizelabs](https://job-boards.greenhouse.io/haizelabs)
3. [haizelabs.com/about](https://www.haizelabs.com/about)
4. [cbinsights.com/company/haize-labs](https://www.cbinsights.com/company/haize-labs)
5. [join.haizelabs.com](https://join.haizelabs.com/)

## Other roles at Haize Labs

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