Role overview
We are on the lookout for an AI Engineer for a profitable, bootstrapped company building cutting-edge LLM-powered tools that transform how private market investors conduct research. Their platform is already trusted by several of the world’s top private equity and consulting firms and supports investment decisions involving billions of dollars annually.
The company has a growing team of 17 across London and NYC and is live with more than 20 enterprise clients, processing tens of thousands of calls on their platform. This is a highly impactful role with real production data, real users, and the opportunity to shape both product and technical direction from an early stage.
The Role
As one of the first senior AI Engineer hires, you will have a high-impact role shaping both product and technical direction. This is a hands-on engineering role focused on building production-grade LLM and agentic systems.
You will work on problems such as:
- Designing and implementing evaluation frameworks to measure LLM and agent performance across reasoning, accuracy, multi-turn dialogue, and tool usage
- Creating and open-sourcing benchmarks for evaluating LLM output on investment-research-specific tasks such as synthesis quality and citation grounding
- Building prompt refinement systems that learn from production signals and human feedback to improve reliability and performance
- Developing and maintaining agentic tooling including research assistants, deep research flows, and voice agents
- Integrating external APIs, search, speech-to-text, and text-to-speech technologies into production systems
- Prototyping lightweight voice agent frameworks with strong evaluation around latency, error recovery, and conversational flow
- Collaborating closely with research and product teams to productionize new prompting, retrieval, and multi-agent orchestration techniques
- Contributing meaningfully to product direction, prioritization, and long-term technical strategy
About You
We are looking for a product-minded AI Engineer who:
- Is based in NYC (in-person, 5 days per week)
- Has 5+ years of professional experience, with recent, hands-on work with LLMs
- Has strong opinions and enjoys contributing to product and architectural decisions
- Communicates clearly and is comfortable in a client-facing environment
- Can explain complex AI concepts to non-technical stakeholders and turn ideas into testable experiments
- Has built LLM systems end to end in a product-focused organization, from data and logging to evaluation and prompt optimization
- Has a strong bias to action and experience delivering complex projects with senior stakeholders
- Is excited to help grow a team and shape engineering culture
What Great Looks Like
- Deep, recent experience working with LLMs and agentic systems is required
- Strong software engineering mindset rather than a purely research-focused background
- Either a software engineer who has transitioned into LLM systems, or an ML engineer who has spent the last few years heavily focused on LLMs
- Experience forming clear views on improving LLM output, reliability, and evaluation
- Leadership potential, with the opportunity to grow into a Head of AI role over time
Benefits
We offer competitive compensation, equity, and private healthcare, along with some unique perks:
- Gym membership
- In-office cook
- Summers working remotely by the beach