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About the company
They are building cutting-edge LLM-powered tools to supercharge the investment research process for private market investors. Their clients include several of the worlds top 10 private equity and consulting firms, and are responsible for investing billions of dollars annually. Were a
profitable, bootstrapped
company with a growing team of 12 based in London and NYC. Role Description
As one of the
first AI Engineer hires , youll have the unique opportunity to: Design and implement evaluation systems
to measure LLM and agent performance across reasoning, accuracy, multi-turn dialogue, and tool use. Ideally publicize benchmark for specific use cases Build and open source a benchmark
for evaluating LLM outputs on investment researchspecific tasks (e.g., synthesis quality, citation grounding). Design a prompt refinement system
that ingests production signals or human labels and iteratively optimizes prompts for reliability and performance. Develop and maintain agentic tooling
(e.g., research assistants, voice agents, deep research) that integrate external APIs, search, and speech technologies. Collaborate with research and product teams
to productionize new prompting, retrieval, and multi-agent orchestration techniques. Prototype a lightweight voice agent framework
with fast ASR/TTS integration and evals for latency, error recovery, and conversational flow. Contribute to product decisions, direction and prioritization
They are live with >20 enterprise clients, and already have 10s of thousands of calls on the platform. Theres lots of data to improve on and build. About You
Were looking for product-minded ML engineers who: Based in NYC Are
opinionated
about their work and eager to contribute to product decisions Have
strong communication skills
and a desire for a client-facing role Are able to break down AI/ML problems for a non-technical audience clearly and succinctly, and translate their suggestions into testable experiments. Have
experience building LLM systems
from the ground up in a product-focused organization, and can help drive everything from data gathering / logging ? prompt optimizing Have a strong bias to action, highly organised and experienced working with senior stakeholders to deliver large projects end to end Excited to build a team & shape our engineering culture.
Benefits
All the usual benefits (competitive pay and equity, private healthcare etc). Gym membership In-office cook Summers working in Greece by the beach
How to Apply
If youre excited about the opportunity to drive innovation, wed love to hear from you! We cant wait to meet you! #J-18808-Ljbffr
They are building cutting-edge LLM-powered tools to supercharge the investment research process for private market investors. Their clients include several of the worlds top 10 private equity and consulting firms, and are responsible for investing billions of dollars annually. Were a
profitable, bootstrapped
company with a growing team of 12 based in London and NYC. Role Description
As one of the
first AI Engineer hires , youll have the unique opportunity to: Design and implement evaluation systems
to measure LLM and agent performance across reasoning, accuracy, multi-turn dialogue, and tool use. Ideally publicize benchmark for specific use cases Build and open source a benchmark
for evaluating LLM outputs on investment researchspecific tasks (e.g., synthesis quality, citation grounding). Design a prompt refinement system
that ingests production signals or human labels and iteratively optimizes prompts for reliability and performance. Develop and maintain agentic tooling
(e.g., research assistants, voice agents, deep research) that integrate external APIs, search, and speech technologies. Collaborate with research and product teams
to productionize new prompting, retrieval, and multi-agent orchestration techniques. Prototype a lightweight voice agent framework
with fast ASR/TTS integration and evals for latency, error recovery, and conversational flow. Contribute to product decisions, direction and prioritization
They are live with >20 enterprise clients, and already have 10s of thousands of calls on the platform. Theres lots of data to improve on and build. About You
Were looking for product-minded ML engineers who: Based in NYC Are
opinionated
about their work and eager to contribute to product decisions Have
strong communication skills
and a desire for a client-facing role Are able to break down AI/ML problems for a non-technical audience clearly and succinctly, and translate their suggestions into testable experiments. Have
experience building LLM systems
from the ground up in a product-focused organization, and can help drive everything from data gathering / logging ? prompt optimizing Have a strong bias to action, highly organised and experienced working with senior stakeholders to deliver large projects end to end Excited to build a team & shape our engineering culture.
Benefits
All the usual benefits (competitive pay and equity, private healthcare etc). Gym membership In-office cook Summers working in Greece by the beach
How to Apply
If youre excited about the opportunity to drive innovation, wed love to hear from you! We cant wait to meet you! #J-18808-Ljbffr