AI Engineer

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Center Platform, we automate the security review process and transform how you communicate your trust posture, ditching outdated 'security through obscurity' in exchange for transparency that helps you build customer trust, gain valuable insights, and elevate your security story. SafeBase is looking for an AI Engineer with a background in building and improving AI pipelines and workflows to solve real customer problems to join our team.

How You'll Make An Impact:

• Apply Retrieval-Augmented Generation (RAG) processing to our trust data platform to create an AI agent excellent at answering trust-related questions.
• Design, implement, and deploy AI pipelines for our AI-based product offerings.
• Continuously experiment to improve our pipeline and run quantitative evaluations to enhance our AI product.
• Collaborate closely with the founders and leadership as our first AI Engineer, helping shape the future of our AI solutions.
• Assist in growing our platform to thousands of SaaS vendors, including OpenAI, LinkedIn, Dropbox, and Datadog.

We’re Looking For Someone Who Has:

• An entrepreneurial mindset, with previous experience in a technology startup or evidence of a 'get-it-done' attitude.
• Strategic infrastructure and architectural vision, learning product and business context to inform tradeoff decisions.
• At least 1 year of experience in building AI-driven products, including:
• Advanced expertise in prompt engineering, RAG pipelines for LLM applications, and evaluation/improvement of LLM applications.
• A data-driven approach to building and iterating on LLM-powered applications.

Bonus If You Have:

• Experience at a B2B SaaS product startup, preferably a product-led or cybersecurity/compliance startup.
• Knowledge of NLP/NLU fundamentals, including text tokenization/embedding and traditional machine learning model development for natural language models.
• Experience with our modern web application tech stack - TypeScript, Node.js, React, Gemini/Vertex (Google Cloud Platform), Vellum, Postgres, Cypress, Jest.

Education Requirements:

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

Salary Range: $175,000-230,000 (Exact compensation depends on the level of experience and expertise).

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

Remote @ SafeBase: We believe that working remotely shouldn’t cause barriers to a great employee experience. From onboarding to day-to-day operations, when you work remotely at SafeBase, your colleagues and leaders are only 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, acting as owners, not renters.
• Hunger: We find ways to get more done with less, ruthlessly prioritizing to operate with 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.