AI Builder - FDE, Research, & Product (UAE)

Hyde; United Arab Emirates; On-site; AED 150,000 - 270,000; Full time

Benefits offered by this job

Equity

Employee benefits

Job summary

Hyde in the United Arab Emirates seeks an AI Builder to lead designing and deploying RL-based agents within enterprise workflows. You will work in talent-dense teams to translate business challenges into deployable AI systems, balancing research and product needs.

The role offers ownership of end-to-end projects across tracks and the chance to influence platform tooling while collaborating with senior stakeholders across the business.

Qualifications

• Experience in applying ML and RL to enterprise problems.
• Ability to decompose business problems into scoped AI systems.
• Strong software engineering fundamentals and clear communication.

Responsibilities

• Collaborate across Engineering, Product, and Research to deploy AI systems.
• Translate business problems into scoped AI solutions and evaluate outcomes.
• Work with stakeholders to align on deployment, metrics, and success criteria.

Skills

Applied ML

Reinforcement Learning

Eval frameworks

Product engineering

Management consulting

Python

Java

C++

TypeScript / JavaScript

Education

Computer Science

Mathematics

Software Engineering

Physics

Machine Learning

Data Science

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: UAE

• Competitive salary (plus equity and employee benefits on top) - specific offer will depend on experience and technical skill set

• Full time role