Founding AI Platform Engineer – Autonomous AI Systems (LLMs, RL, Reasoning)
Hudson Modeling has been retained to identify a Founding AI Platform Engineer for a new AI venture building systems designed to plan, execute, and optimise real-world business strategies autonomously.
The founder previously served as one of the first Chief Data Science Officers on Wall Street, and later the first Chief AI Officer in private equity, and holds a PhD in AI from Stanford.
We are building systems that go beyond generating content or insights. These systems will embed within business operations, plan actions, execute workflows, learn from outcomes, and continuously improve real-world performance.
The platform combines large-scale foundation models, structured reasoning systems, reinforcement learning, probabilistic methods, and search-based approaches to create a new class of AI-native business infrastructure.
The Role - This is a hands-on founding builder role working directly with the founder to design and build the core platform from the ground up.
You will operate at the intersection of frontier AI techniques (LLMs, agents, RL, reasoning systems) and production-grade systems, defining the architecture that allows AI to act, learn, and deliver outcomes in real-world environments.
We are particularly interested in candidates with experience in:
• LLM-based systems and advanced agent architectures
• Reinforcement learning and feedback-driven optimisation
• Reasoning and planning systems (e.g. MCTS)
• RAG pipelines and knowledge integration
• Evaluation frameworks for generative systems
• Scalable ML infrastructure and experimentation environments
• Designing systems that operate under real-world constraints
We are especially interested in Staff / Principal-level AI Engineers, founding engineers at AI startups, or technical leaders who still enjoy building hands-on.
Compensation - Market competitive base salary + bonus + equity.
Why this role is unique
• Foundational ownership of a new AI platform
• Clean technical canvas with significant architectural influence
• Opportunity to translate frontier AI techniques into real economic impact
• Direct partnership with an experienced AI founder
Additional Signals We Value
Because this is a founding-stage role working closely with the CEO on both system architecture and long-term platform direction, we value candidates who have operated at the intersection of technical leadership and company building.
Strong candidates WILL have:
• Early engineering roles in venture-backed startups / Preferred - You will have raised yourself!
• Experience in frontier AI environments
• Recognised research or open-source contributions
• Built systems or products that have attracted investor interest
Profile
• Staff / Principal-level AI engineer or early technical leader in an AI-native environment
• Strong systems thinker with end-to-end architecture capability
• Comfortable building without large teams or corporate structure
• Experience contributing to applied AI systems or research communities
• Motivated by ownership and long-term equity value
• Able to contribute to technical discussions in investor contexts
What will you do?
• Architect and build the core AI platform
• Design applied LLM and agent-based systems aligned to commercial use cases
• Translate frontier AI techniques into production systems
• Define experimentation and learning loops driven by real-world feedback
• Establish infrastructure, evaluation, and optimisation strategies
• Operate as a founder-level technical partner to the CEO
Qualified candidates or referrals are encouraged to apply directly or contact Adrian Schofield for a confidential discussion.
This is a confidential retained search being conducted by Hudson Modeling.
Apply Now
Apply Now
The founder previously served as one of the first Chief Data Science Officers on Wall Street, and later the first Chief AI Officer in private equity, and holds a PhD in AI from Stanford.
We are building systems that go beyond generating content or insights. These systems will embed within business operations, plan actions, execute workflows, learn from outcomes, and continuously improve real-world performance.
The platform combines large-scale foundation models, structured reasoning systems, reinforcement learning, probabilistic methods, and search-based approaches to create a new class of AI-native business infrastructure.
The Role - This is a hands-on founding builder role working directly with the founder to design and build the core platform from the ground up.
You will operate at the intersection of frontier AI techniques (LLMs, agents, RL, reasoning systems) and production-grade systems, defining the architecture that allows AI to act, learn, and deliver outcomes in real-world environments.
We are particularly interested in candidates with experience in:
• LLM-based systems and advanced agent architectures
• Reinforcement learning and feedback-driven optimisation
• Reasoning and planning systems (e.g. MCTS)
• RAG pipelines and knowledge integration
• Evaluation frameworks for generative systems
• Scalable ML infrastructure and experimentation environments
• Designing systems that operate under real-world constraints
We are especially interested in Staff / Principal-level AI Engineers, founding engineers at AI startups, or technical leaders who still enjoy building hands-on.
Compensation - Market competitive base salary + bonus + equity.
Why this role is unique
• Foundational ownership of a new AI platform
• Clean technical canvas with significant architectural influence
• Opportunity to translate frontier AI techniques into real economic impact
• Direct partnership with an experienced AI founder
Additional Signals We Value
Because this is a founding-stage role working closely with the CEO on both system architecture and long-term platform direction, we value candidates who have operated at the intersection of technical leadership and company building.
Strong candidates WILL have:
• Early engineering roles in venture-backed startups / Preferred - You will have raised yourself!
• Experience in frontier AI environments
• Recognised research or open-source contributions
• Built systems or products that have attracted investor interest
Profile
• Staff / Principal-level AI engineer or early technical leader in an AI-native environment
• Strong systems thinker with end-to-end architecture capability
• Comfortable building without large teams or corporate structure
• Experience contributing to applied AI systems or research communities
• Motivated by ownership and long-term equity value
• Able to contribute to technical discussions in investor contexts
What will you do?
• Architect and build the core AI platform
• Design applied LLM and agent-based systems aligned to commercial use cases
• Translate frontier AI techniques into production systems
• Define experimentation and learning loops driven by real-world feedback
• Establish infrastructure, evaluation, and optimisation strategies
• Operate as a founder-level technical partner to the CEO
Qualified candidates or referrals are encouraged to apply directly or contact Adrian Schofield for a confidential discussion.
This is a confidential retained search being conducted by Hudson Modeling.
Apply Now
Apply Now