Job Application for Principal AI Engineer at SafeBase

SafeBase is the leading trust center platform designed for friction-free security reviews. With our enterprise-grade Trust Center Platform, we automate the security review process and transform how you communicate your trust posture, ditching outdated 'security through obscurity' in exchange for transparency that helps you build customer trust, gain valuable insights, and elevate your security story.

We’re looking for a Principal AI Engineer to join our growing team. In this role, you will lead the vision and implementation for AI at SafeBase. We believe AI is central to the future of B2B trust, and is a critical pillar of our strategy. Our ideal candidate will bring a strong background in building and improving AI applications, and experience designing workflows to solve customer problems.

How you'll make an impact:

Tech Lead our AI product offerings - an LLM agent for answering trust-related questions.
Design, implement, and deploy AI pipelines for our AI-based product offerings.
Stay on the edge of AI innovation and apply industry best practices (e.g., RAG) to pipeline to keep innovating ahead of the market.
Continuously experiment to improve our pipeline and run quantitative evaluations to make our AI product into something our customers can't live without.
Work closely with the founders and leadership as our first AI Engineer and help shape the future of our AI solutions.
Help grow our platform to thousands of SaaS vendors, like OpenAI, LinkedIn, Dropbox, and Datadog.

We’re looking for someone who has:

Entrepreneurial mindset - previous experience as an early joiner in a technology startup or evidence that you are scrappy with a "get-it-done" attitude. You thrive in an ambiguous environment and you enjoy leading people towards a common goal. You understand the main focus for engineers at a product-led startup is delivering value to customers.
Strategic infrastructure and architectural vision. Be able to learn the product & business context to inform tradeoff decisions regarding work scoping, technical debt, and strategic investment. Knowing where to cut corners and where to excel.
3+ years of experience in shipping applied AI/ML products. (In either Python or TS)
At least 1 year of experience in building LLM-based products.
Advanced expertise of prompt engineering, RAG pipelines for LLM applications, evaluation & improvement of LLM applications over time, experience taking a data-driven approach to building & iterating on LLM-powered applications.

Nice to haves:

Experience at a B2B SaaS product-led startup. Even better: product in cybersecurity/compliance realm.
Experience with NLP / NLU fundamentals (e.g. text tokenization / embedding, text classification, traditional machine learning model development experience, especially for natural language-based models
Experience with our modern web application tech stack - TypeScript, Node.js, React, Gemini/Vertex (Google Cloud Platform), Postgres, Cypress, Jest.

Education Requirements:

Degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence.

While we are unable to provide sponsorship for this role, we are open to the H1-B transfer process.

Salary Range: $180,000-275,000 (Please note, the exact compensation will depend on the level of experience and expertise)

Job descriptions are just a description. SafeBase is full of curious optimizers, which is why we value unique experiences, abilities and opinions. If this role sounds like your next adventure, but you don’t feel entirely qualified, apply! We value candidates who own it, and if you’re relentlessly resourceful too, you might be exactly who we are looking for.

Remote @ SafeBase

We believe that working remotely shouldn’t cause any barriers to a great employee experience, so from onboarding to day to day operations, when you work remotely at SafeBase your colleagues and leaders are only as far as a *virtual* tap on the shoulder away. Our roles require 10% travel as we like to meet yearly for collaboration.

Core Values

Customer-First: We prioritize our customers over the long term and value our reputation above short-term gains.
Extreme Ownership: We take pride in the quality of our work and the success of the company. We take accountability and act like owners, not renters.
Hunger: We find ways to get more done with less, ruthlessly prioritizing to operate with the necessary speed without sacrificing quality.
Win and Fail Together: Our combined success relies on effective communication, collaboration, assuming best intent, and a culture of continuous learning.

Principal AI Engineer

Apply for this job