About us

Our mission at Credal is to harness frontier AI for everyone building a better future.

We accelerate the most complex, sophisticated operations of the most impactful institutions, while weaving security and governance into every part of our product. Our customers include the U.S. Dept of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (Transferwise), Checkr, and incident.io among others.

We’ve raised over $10m to date with a ton of runway. You’ll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google.

📍 Credal is in-person in our spacious NYC office with meals provided.

About the role

We’re looking for a founding web full-stack software engineer to help us build on our progress, with proven market demand from global enterprises, to a scalable, performant architecture while maintaining our industry leading security posture.

What you’ll do:

Own aspects of our stability, scalability and security as we onboard more customers and expand our product

Ensure we can successfully sync billions of records into our data platform from our customers’ SaaS tools reliably

Contribute to architecture, design decisions, and code and product quality strategy

Engage directly with customers and our GTM team to discover and solve our customers’ most complex and bleeding edge problems

Mentor junior engineers and continue raising our bar for engineering excellence

Take end-to-end ownership of our core products, built on…

Frontend: React, Typescript, NextJS, Tailwind

Backend: Typescript, Temporal, NextJS, Gel/PostgreSQL

AI/ML: OpenAI, Anthropic, Cohere, Gemini, Milvus/QDrant/MongoDB

Cloud: AWS, Terraform, Helm, Kubernetes

About you

You might be a great fit if you’re a strong, versatile software engineer who enjoys working across the stack and solving whatever technical problems matter most. You’re comfortable working across frontend and backend—or bring particularly deep expertise in frontend engineering—and have strong software engineering fundamentals. You’re excited about Agentic AI / LLM applications, even if you haven’t worked directly with AI before.

Eager to join our mission of bringing Frontier Intelligence to the industries and institutions that matter most to human welfare—e.g., healthcare, government, and financial infrastructure

Coding comes naturally to you, you do it for fun, and you excel at it professionally

4+ years building high-quality software, ideally in excellent engineering cultures

Strong engineering fundamentals and the ability to reason about architecture, abstractions, performance, reliability, and complexity—not just specific frameworks or technologies

Comfortable working across TypeScript, GraphQL, MongoDB, and Vue; experience with our exact stack is helpful but not required

Experience helping engineering teams scale—not only by writing great code, but by creating abstractions, systems, tools, and processes that establish clear swim lanes and reduce complexity for other engineers

Interested in Agentic AI, LLM applications, and emerging technologies. Experience with MCP or building AI agents is a plus, but not required

You set a high bar for craft and execution, and you’re known as a creative, trusted, and resourceful teammate who elevates those around you

High-ownership—you take projects, outcomes, and customer unlocks from an ambiguous starting point through to a clean finish

Thrive in fast-paced environments, biasing toward action rather than waiting for someone else to tell you what to do or how to solve a problem

Customer-focused—you care about customers’ challenges and ambitions and are energized by building technology that empowers people

A doer of things—technical or otherwise—that people have told you were impossible or foolish

Enjoy mentoring and accelerating people around you who are hungry to learn, regardless of their level of experience

We encourage you to apply even if you don’t perfectly match this description but believe you would be a good fit with our values and culture. We embrace driven people who may not fit the mold or check every box.