Raylu.ai | Engineers (Backend/Frontend/Full-Stack), Senior Data Engineer, Senior AI Engineer, Senior Product Engineer | New York City | ONSITE | Full-time | $165k–$250k base + $100k–$200k equity | https://jobs.gem.com/raylu-ai
Raylu automates private-market investing workflows with LLMs. Beachhead: sourcing—mass-scale agentic search + AI-first workflow so funds go from lead → memo fast. Series A (Oct ’25), $12M raised; team of 7, fully in-office (Midtown Manhattan).
Stack: TypeScript/Node, React/Next.js, Redis, Temporal, Python, Dagster, DuckDB, modern cloud.
Benefits: Health/dental/vision, 401k (3% automatic), paid lunches, wellness + Citi Bike.
Apply: https://jobs.gem.com/raylu-ai
Culture & Benefits: NYC-based team of 6 in Midtown, tackling new challenges with work-life balance. Benefits: Health, dental, vision, 401k with 3% contribution, paid lunches, wellness perks.
AI Engineer: Requires LLM expertise (RAG, Langchain, fine-tuning), production Python back-end experience, and resilience in open-ended problem solving. Salary: $135K-$200K, Equity: 0.15%-0.8%.
Culture & Benefits: NYC-based team of 6 in Midtown, tackling new challenges with work-life balance. Benefits: Health, dental, vision, 401k with 3% contribution, paid lunches, wellness perks.
Raylu is AI for financial services. 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
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.
Requirements * - 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: $130K - $205K, 0.15%-0.8% equity - Location: Mid-town Manhattan 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
Raylu is AI for financial services. 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
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.
* Requirements *
- 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.
- You will be working with Raylu’s head of AI directly on a day-to-day basis.
*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: $110K - $165K, 0.15%-0.3% equity
- Location: Mid-town Manhattan 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
Raylu automates private-market investing workflows with LLMs. Beachhead: sourcing—mass-scale agentic search + AI-first workflow so funds go from lead → memo fast. Series A (Oct ’25), $12M raised; team of 7, fully in-office (Midtown Manhattan).
Stack: TypeScript/Node, React/Next.js, Redis, Temporal, Python, Dagster, DuckDB, modern cloud. Benefits: Health/dental/vision, 401k (3% automatic), paid lunches, wellness + Citi Bike. Apply: https://jobs.gem.com/raylu-ai