Raylu
At Raylu, we are automating financial workflows with sophisticated LLM technology. Our first beachhead focus is on buy-side finance, creating decision-support AI workflows at every step of the asset evaluation, diligence, and investment process. Our product combines domain-trained and specialized financial LLM systems with a workflow, prompt, and knowledge base builder - giving funds accurate and cutting-edge AI that is deeply bespoke to their needs. Our sales pitch and demo video:
$135K - $200K, 0.15%-0.8% equity
Job Opportunities
🤖 AI Engineer
Position Summary: Raylu’s engineering team of 5 people is looking to expand and hire an AI Engineer. We are looking for an engineer who is comfortable working with complex LLM systems, excel’s at experiment and evaluation driven development, and has a passion for solving hard open ended problems.
What we are looking for:
- Experience with LLM systems. You are an expert in sophisticated RAG, chains and agentic systems (Langchain based), and fine-tuning.
- Experience working in a production python back-end. We build and manage our own systems and services, and therefore value scalability and reliability - we need an AI engineer who is a capable back-end engineer.
- You have a ruthless work ethic and refuse to give up on excellence. A lot of this job is solving open-ended problems that require many failed experiments before a solution solves the problem - and we need engineers thick-skinned enough for that process.
- We often hit problems that genuinely require reading research papers in order to design new experiments to run. A formal background in ML is preferable, but are open minded to an AI engineer with a SWE background.
Company Culture and Values:
- We are a small team of 6 all based out of NYC working out of our office in midtown Manhattan everyday (with WFH flexibility when needed).
- Everyday we tackle new unsolved challenges
- We work hard. We don’t believe in hustle culture, toxic workplaces, and sacrificing health. , but startups are really hard - so we put in the time and effort needed to succeed.
- We are courageous yet humble with our work. Everyday we sprint into unknown territory courageously building what we think is the thing everyone wants, but we have the humility to hear feedback, fail gracefully, and rebuild quickly.
Logistics:
- Compensation: $135K - $200K, 0.15%-0.8% equity
- Location: New York City. We are a fully in-office team working out of Midtown Manhattan Monday through Friday. We allow for WFH days when anyone is traveling, but we do not allow for permanent remote work.
- Benefits:
- Generous health, dental, and vision insurance
- 401k with 3% automatic contribution (no vesting)
- Paid Lunches
- Wellness and Citi Bike benefit
About Raylu
Our Goal
At Raylu, we are automating financial workflows with sophisticated LLM technology. Our first beachhead focus is on buy-side finance, creating decision-support AI workflows at every step of the asset evaluation, diligence, and investment process. Our product combines domain-trained and specialized financial LLM systems with a workflow, prompt, and knowledge base builder - giving funds accurate and cutting-edge AI that is deeply bespoke to their needs. Our sales pitch and demo video:
Raylu makes building investment summaries and memos easy with generative AI. Built by an ex-Insight Partners AI investor, Raylu is purpose built to make top-of-funnel deal processing fast and effective so funds don't miss hidden gems and move faster to be in pole position on the deals that matter. Raylu is a highly-customizable platform designed to easily learn to think about deal data the same way your firm does. Watch a deep dive demo here.
What it’s like working at Raylu
- We are a small team of 6 all based out of NYC working out of our office in midtown manhattan everyday (with WFH flexibility when needed).
- Everyday we tackle new unsolved challenges (e.g. how the heck do you we make this LLM released yesterday solve our problem? how can we innovate on chat UX?)
- We work hard. We don’t believe in hustle culture, toxic workplaces, and sacrificing balance, but startups are really hard - so we put in the time and effort needed to succeed.
- We are courageous yet humble with our work. Everyday we sprint into unknown territory courageously building what we think is the thing everyone wants, but we have the humility to hear feedback, fail gracefully, and rebuild quickly.
About Us
Meet the Team
Meet our investors
Raylu is backed by an incredible group of investors who are helping us bring about the future of automation. We just raised an oversubscribed $4M seed round with investors including
Name | Institution | Experience |
---|---|---|
Conversion Capital | Founder of Conversion, investments include Blend, Ramp, Figure | |
Unusual Ventures | Founder of Unusual Ventures, investments include: Harness, Appdynamics, Mulesoft, Carta | |
Unusual Ventures | Leads ML efforts at Unusual. Previously ML Product at Ford and lead solutions architect at Tecton | |
Centre Street Partners | Cofounder of Centre Street Partners. Previously, Insight Partners | |
Centre Street Partners | Cofounder of Centre Street Partners. Previously, UBS | |
Angel | Cofounder and former CTO of Dropbox | |
Angel | Cofounder and former CEO of Algorithmia (acquired by DataRobot). | |
Angel | Cofounder of Heap (former CTO) and Airplane (CEO) | |
Angel | Cofounder of Tagomi (acquired by Coinbase), Bizops at Coinbase | |
Angel | Cofounder of Tagomi | |
Angel | Early growth lead at DataDog and Weights and Biases, PM at Kindred AI | |
Angel | Cofounder of Nomad Health, former director of product at Hyperscience | |
Angel | Cofounder Pylon, Cofounder Atmos | |
Angel Group | Angel collective composed of 9 women VC investors |