---
title: 'AI Builder - FDE, Research, & Product (NYC) at Hyde'
canonical: 'https://feeny.ai/job/ai-builder-fde-research-product-nyc-hyde-new-york-scz609k06bh4'
type: 'job'
last_seen: '2026-10-16'
---

# AI Builder - FDE, Research, & Product (NYC) at Hyde

- **Company:** Hyde
- **Location:** New York, NY
- **Compensation:** $140k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-02-12
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/hyde/a95c2dc5-30a1-4914-8f59-10928d4b42d2

## Job description

## About Hyde

Hyde builds specialist AI models and agents for high-stakes enterprise workflows. Our training and inference platform extracts proprietary data, deep institutional context, and enterprise dark matter to create models that reason like an enterprise's best operators, improving with every run. We fundamentally believe the next frontier of AI isn't generalist models, but specialist ones that redefine what's possible in a given domain. Getting there requires sophisticated post-training, alignment, and reinforcement learning paradigms to make agents reliably perform complex tasks in enterprise environment. We are a fast-growing, talent-dense team of AI researchers who built frontier open models at DeepMind, early FDEs who shaped Palantir's commercial business, IOI medalists, and organizational strategists from McKinsey and HBS. You will be joining a 30+ person team based across NYC, London, and Mumbai, backed by Bain Capital Ventures and General Catalyst, and already partnering with Global 500s, AI natives, and investment firms to shape the future deployment of AI.

What is an AI Builder? Being an AI Builder at Hyde is like leading your own Applied AI startup, you’re the CXO, driving vision, strategy, and execution. You'll work in talent-dense teams to build and deploy the training and inference stack that enables enterprises to develop RL-based agents. AI Builders get the opportunity to work across the three tracks, and the freedom to focus on the area aligning with experience and interest.

- Forward Deployed Engineering (FDE): Embed directly with enterprise CXOs and senior stakeholders to identify high-value problem spaces and translate them into deployable AI systems, feeding into Hyde's core platform, primitives, and tooling.
- Product: Iterate on Hyde’s product toolkits by capturing cutting-edge applied AI patterns that create delivery leverage. Equally capture usage insights from production environments to refine product abstractions and interfaces for deployments.
- Research: Work at the frontier of post-training research, training and fine-tuning models, building agents, designing evaluation frameworks, and creating RL environments for specific enterprise domains. Feed key breakthroughs and techniques back into Hyde's core platform, keeping the product at the cutting edge as the field evolves.

We have a select number of AI builder internship opportunities — if you are applying for that, please note this in your application.

You may be the right fit if you have:

- Experience working in applied ML, reinforcement learning, evals, product engineering, and/or top-tier management consulting. Ideally, deep model-level understanding and experience deploying AI in creative ways to solve real-world problems.
- A strong foundation in ML basics (Evaluation, Training, Problem Decomposition). Preferred backgrounds include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, Machine Learning, Data Science.
- Ability to run technical discovery with senior stakeholders, translate ambiguous business problems into scoped AI systems, and communicate model behavior credibly to non-technical audiences.
- Proficiency in software engineering principles and an understanding of languages such as Python, Java, C++, TypeScript / JavaScript.

The details

- Location: NYC
- Base salary range: $140,000-300,000 / year (plus equity and employee benefits on top) - specific offer will depend on experience and technical skill set
- Full time role

We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other legally protected status.

## About Hyde

## Company Overview
- **One-liner**: Hyde builds an integrated post-training and inference platform that helps enterprises package proprietary knowledge into owned, specialized AI models that outperform general-purpose frontier models.
- **Entity Type**: Private (Seed Stage - raised a Seed round with 1 known investor)
- **Headquarters**: New York City, New York, United States
- **Founded**: 2025
- **Founders**: Anirudh Sanga (Co-Founder & CEO), Ishaa Sandhu (Founding COO)

## Core Business
- **Primary industry/industries**: Enterprise AI Infrastructure, Specialist AI Model Training & Inference, Post-Training
- **Target customers**: Large enterprises and critical institutions (B2B) — including automotive (e.g., Tata Motors), financial exchanges, retail, and CPG companies.
- **Mission or purpose statement**: "Own your intelligence." The company’s stated mission is to enable enterprises to turn their data and expertise into reasoning engines that outperform generalist AI.

## Products & Services
- **Hyde Platform**: An integrated post-training and inference platform that extracts deep institutional context from enterprise business operations and packages it into custom, owned AI models. Offers 10x lower inference cost and latency at scale compared to general-purpose frontier models, with zero reliance risk on external model providers and no intellectual property or data leakage.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (company is privately held, seed-stage).
- **Key Metric**: Total Funding — Seed Round raised (amount not disclosed). Headcount of 23 employees globally.
- **Notable Investors/Partners**: 1 known seed investor (name not publicly disclosed); strategic enterprise partners include **Tata Motors** ($50B global automaker), a national US stock exchange, a $10B retailer, a $2B CPG company, and an F1 racing organization.
- **Growth Signals**: Founded in 2025 and already at 23 employees with operations across 5 countries (US, India, UK, Singapore, Australia). LinkedIn follower growth of +10.1% monthly; site traffic growth of +4,958% month-over-month. Strong case study results: 4x improvement in sales conversion for Tata Motors, >10pp improvement in forecast accuracy for a $10B retailer, approaching 100% accuracy in SEC report generation for a stock exchange, and 10x better performance than off-the-shelf coding assistants.

## Competitive Advantages
- **Owned Intelligence**: Enterprises build and own custom models fine-tuned on their proprietary data — no dependency on external model providers, no risk of IP leakage.
- **Cost Advantage**: Up to 10x lower inference cost and latency vs. frontier models; up to 7x lower total cost of ownership.
- **Superior Performance on Niche Tasks**: Specialist models consistently outperform general-purpose frontier models on domain-specific reasoning (e.g., regulatory reporting, demand forecasting, Indic language speech recognition).
- **Feedback Loops**: Models improve with use — a defensible edge over static generalist AI.
- **Post-Training & Inference Loop**: An integrated platform approach (not just fine-tuning APIs) that packages institutional knowledge into reasoning engines.

## Strategic Focus
- **Scale the enterprise customer base** beyond current select partnerships.
- **Expand geographically** (already in 5 countries, growing quickly).
- **Build the founding NYC forward-deployed team** (hiring for FDE, research, product roles).
- **Shape the "post-generalist era"** of enterprise AI: small, owned, highly specialized models instead of renting large frontier models.

## Why Work Here
- **Culture principles**: Radical ownership, idea meritocracy (decisions based on merit of ideas, not title), and "rigor & velocity" — combining the intellectual rigor of a research lab with the execution speed of a startup.
- **Team composition**: Highly technical — 43% of employees are in technical roles; talent sources include McKinsey & Company, Google, IIT Bombay, IIT Delhi, and top firms. Only 23 people, offering substantial ownership and early responsibility.
- **Work environment**: Currently hiring for a founding forward-deployed team in **NYC** (full-time and interns). "Everyone is entrusted with ownership and accountability early."
- **Notable perk/angle**: The chance to shape a company at the earliest stage (founded in 2025) that is already landing multi-million-dollar enterprise partnerships. The founding team is described as "all-star."
- **Remote/Hybrid**: Specific policy not disclosed; NYC-based roles are available, and the team is geographically distributed across the US, India, UK, Singapore, and Australia.

## Sources
1. [buildwithhyde.com](https://buildwithhyde.com/)
2. [buildwithhyde.com/careers](https://buildwithhyde.com/careers)
3. [jobs.ashbyhq.com/hyde](https://jobs.ashbyhq.com/hyde)
4. [jobs.ashbyhq.com/hyde/a95c2dc5-30a1-4914-8f59-10928d4b42d2](https://jobs.ashbyhq.com/hyde/a95c2dc5-30a1-4914-8f59-10928d4b42d2)
5. [linkedin.com/company/buildwithhyde](https://www.linkedin.com/company/buildwithhyde)

## Other roles at Hyde

- [AI Builder - FDE (UAE)](https://feeny.ai/job/ai-builder-fde-uae-hyde-united-arab-emirates-s1e31k3bzj3q) — United Arab Emirates
- [Enterprise Account Executive (Mumbai)](https://feeny.ai/job/enterprise-account-executive-mumbai-hyde-mumbai-2hs1046grhws) — Mumbai, India
- [Enterprise Account Executive (NYC)](https://feeny.ai/job/enterprise-account-executive-nyc-hyde-new-york-nder1357jceq) — New York, NY
- [AI Builder (London)](https://feeny.ai/job/ai-builder-london-hyde-london-mzxdndkjnjqh) — London, United Kingdom
- [AI Builder - Research (Mumbai)](https://feeny.ai/job/ai-builder-research-mumbai-hyde-mumbai-ad1c7kkk30w3) — Mumbai, India