Remote AI Engineer

Stack One is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures.

Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs.

Stack One sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents.

Our customers are established B2B SaaS companies that:

• Sell to mid market and enterprise buyers

• Are building AI Agents in the near future

• Need deep, native integrations to win competitive deals and power their product

• Value time to integration over building connectors in house

We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO.

We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others).

In this role, you will conduct research and development around AI, focusing on automating processes and development 're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to Stack One. We're convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve.

• Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions.

• Managing and updating Data pipelines used for AI use-cases

• Collaborate with cross-functional teams to identify opportunities for AI integration and automation

• Optimize and refine existing AI models and applications for performance and scalability

• Stay current with advancements in AI and LLM technologies, applying new knowledge to Stack One's AI strategy

• Implement best practices in AI development, ensuring compliance with data privacy and security regulations

• Document and communicate research findings and development progress to stakeholders

• Collaborate with other software & AI engineer(s) to deliver larger scale projects

• Bachelor's degree in Computer Science, Engineering, or a related field (or 3+ years of relevant experience)

• Familiarity with API development, integration, and SaaS platforms

• Past experience with AI, specifically Large Language Models and related technologies

• Excellent problem-solving and analytical skills

• Strong communication and collaboration abilities

• Desire to work in a fast-paced, dynamic startup environment

Preferable:

• You’re familiar with Typescript

• You’ve deployed or managed infrastructure on AWS

You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes:

• Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, Incident.io

• Languages & Frameworks:
  Typescript (Node.js), NestJS, Rails, React, Svelte,

• Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more

Stack One is one of the fastest-growing embedded integration platforms. Here’s why:

• It drives down the cost of building integrations by 10x. To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest. This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration).

• It has a superior architecture:
  Unlike other Unified APIs, we developed an innovative, fully real-time architecture that does not store their customers’ sensitive data by default. This enables our customers to differentiate themselves on the market with…