🚀 About Credal

Our mission is to make AI safe and useful for the industries most vital to human welfare. To achieve that, we're building the industry’s easiest-to-use and most secure RAG platform along with configurable Copilots for custom AI workflows.

We're a hyper-growth, well funded startup building an extraordinary team of thoughtful doers that can shape the future of the AI industry. Our customers are Enterprises in the industries most vital to human welfare: Sustainability, Infrastructure, Housing, Education and Finance. We serve public companies, multi billion dollar institutions, international regulators and more.

With strong funding from top investors (including one of the inventors of ChatGPT), we have the runway to navigate market fluctuations while making ambitious bets on our product vision.

Our AI development platform enables enterprises to rapidly unlock value from their private data sources for their employees and customers, all while enforcing appropriate access and security controls.

You can read more about our company on our Cultural Principles.

🏆 The Team

Ravin (Co-founder & CEO) spent 7 years at Palantir building AI powered systems in large financial institutions, life sciences organizations, and public health institutions. Before that, he was in the trenches and leading teams at Google, THG, and GoCardless.

Jack (Co-founder & CTO) started his career at H1 and Palantir. As a tech lead, he led teams applying Al in areas from air travel to healthcare to US defense. Jack was the Engineering Hiring Manager for Palantir's US Commercial business.

Tom spent 8 years at Palantir, where he led technical teams and brought on-prem AI solutions to bear on large financial institutions and corporations. Tom previously developed software solutions at Citadel and Bloomberg.

Ben joined Credal from Palantir, where he spent 3 years working on critical projects for the US Government. Most recently, he was the Enterprise Technical Lead for delivering security-focused software solutions to the United States Special Operations Command.

🌟 About You

This role requires a strong background in software development, including experience in front-end technologies such as React, CSS, and Typescript, as well as back-end technologies such as databases, server-side frameworks, and APIs. Additionally you’ll:

• Have 2+ years experience working as a full-stack software engineer, ideally in a start-up like environment where you have taken full ownership of projects from start to finish.
• Be comfortable working in sprint cycles in a fast-paced environment and embody our cultural principles around outcome orientation and biasing towards action.
• Be ambitious - we’re working on an incredibly hard problem and are looking for people who are energized by challenges.
• Be customer-focused - care about addressing the challenges our customers encounter, using their feedback to continuously shape our product.

Experience in any of the following is great to have but not required:

• AI/ML especially in generative AI / LLMs.
• CloudOps/DevOps - using tools like Terraform, Kubernetes, etc.
• Data infrastructure - using tools like dbt, Airflow, Dagster, Snowflake, etc.
• Working in highly regulated environments with rigorous data security requirements (healthcare, finance, government, etc).

We understand that not everyone will perfectly match the description above, and we are dedicated to maintaining an equal and diverse workplace. We embrace individuals who may not fit the traditional mold and encourage you to apply if you believe you would be a good fit for our values and culture. 😊

👷‍♀️ About the Role

The founding software engineer will work closely with the CEO and CTO to develop the core product offering.

The nature of this work will change in a fast-moving environment but typically involves a combination of (depending on your background):

• Working with AI/LLMs: Improving the performance of our Retrieval Augmented Generation platform by experimenting with foundational LLMs and novel search techniques. Help define industry standards for how to leverage generative AI in enterprise settings.
• Enhancing our developer-focused APIs: improving and expanding the functionality of our APIs to make them more user-friendly and efficient for developers. This includes optimizing performance, adding new features, and ensuring seamless integration into existing customer workflows.
• Making improvements to our frontend: Refining the visual design, optimizing the performance, and implementing new features in our platform’s frontend to make it more intuitive and engaging for our users.
• Working on our data platform: Making improvements to our data platform to ingest, transform, and embed customer data for use in generative AI applications. Optimizing the data infrastructure’s performance and scalability to ensure reliable and timely data integration.

💾 Our Stack

We don’t care about which tools you have experience in so long as you’re able to adapt and be effective in our current environment:

1. Frontend: NextJS, React, Typescript, Tailwind
2. Backend: NextJS, Typescript, EdgeDB/PostgreSQL, Milvus
3. Cloud: AWS, Terraform, Kubernetes
4. AI/ML: Langchain, OpenAI, Anthropic, and Cohere

💼 Work environment:

We love to work in-person in our downtown Brooklyn office.

We have a high bar for hiring and account for that with above-market compensation including cash, equity, and benefits 😃