Principal Software Engineer

Posted 16 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
80K-150K Annually
Senior level
Artificial Intelligence • Cloud • Conversational AI • Infrastructure as a Service (IaaS)
The AI-First Data Automation Platform Deploy AI agents on your own data streams—instantly, securely, and at the edge.
The Role
Design and build AI-first data systems, focusing on architecture, developer experience, and cross-stack execution while mentoring engineers.
Summary Generated by Built In

Are you excited by the opportunity to become a part of a badass team leading the AI-first data revolution?

Do you thrive on solving hard problems (individually and collectively), yet humble and hungry to learn and grow within a team on your path to greatness?

Do you desire to become a part of a close-knit pack led by SV startup veterans who can accelerate your growth 10X (compared to the corporate trajectory/culture)?

If you’ve answered with 3 resounding "yes", then we want to meet you!

You will play a critical role in designing and building our AI-first data computing platform. This is not just an execution role — we’re looking for someone who thinks strategically, moves with intention, and can take ideas from concept to production with a balance of technical depth and practical decision-making.

You’ll be working across the stack, applying modern technologies to develop performant, secure, and scalable systems. This is an opportunity to help shape the foundation of a platform that powers real-world AI applications at scale.

Tasks

  • Systems Architecture: Design, implement, and scale foundational backend systems and APIs that power decentralized, real-time AI workflows.
  • Developer Experience: Own the end-to-end developer journey by building SDKs, CLIs, and interfaces that make it easy to interact with our platform.
  • Cross-Stack Execution: Rapidly prototype and productize features using tools like Cursor, React, and TypeScript—without sacrificing quality or scale.
  • Technical Leadership: Guide architectural decisions, lead design reviews, and mentor engineers in best practices for distributed, high-performance systems.
  • Collaboration: Partner with product, design, and leadership to align technical execution with company vision and user needs.
  • Execution Ownership: Drive key projects from 0→1 with autonomy, accountability, and a strong bias for action.

Requirements

  • Experience: 4+ years in high-performance software environments, with a proven track record of shipping complex systems end-to-end.
  • Deep Technical Expertise: Mastery of one or more systems languages (Go, Rust, Kotlin, etc.) and strong backend engineering fundamentals.
  • Architectural Fluency: Experience designing and scaling distributed systems with performance, reliability, and observability in mind.
  • Quality & Testing: Strong discipline around testing, CI/CD, and long-term maintainability (TDD preferred).
  • Builder Mindset: Ability to turn ambiguity into architecture, and architecture into reliable, extensible code.
  • Communication: Clear, concise communicator who can explain tradeoffs, write technical specs, and mentor junior engineers.
  • Bonus: Experience with edge computing, Web3 protocols, real-time data infra, or AI/ML-powered systems.

Benefits

  • Competitive Compensation & Meaningful Equity: We offer founder-level alignment because this is a founder-level role.
  • High-Ownership Role: You’ll directly shape our technical direction and long-term stack architecture.
  • Work with Top-Tier Founders & Engineers: Collaborate daily with a deeply technical, mission-driven leadership team.
  • Build the Future of AI Infrastructure: We're not optimizing yesterday's workflows—we're inventing tomorrow's.
  • Zero Bureaucracy, Maximum Autonomy: We stay lean, move fast, and trust you to lead.
  • Remote-First, In-Person When It Counts: We're distributed across SF and Europe, with monthly hackathons and off-sites to align and build together.

Our Hiring Process

We move fast, stay transparent, and focus on real collaboration. Here’s what the process looks like:

  1. Intro Call – A quick chat to align on expectations, interests, and team fit.
  2. Technical Deep Dive – A focused conversation with our Engineering Manager to explore your systems thinking and past work.
  3. CEO Interview – A strategic discussion around vision, mindset, and long-term alignment.
  4. Reference Collection – We’ll speak with a few people you’ve worked closely with.
  5. Paid Trial (~5 Days) – A short, real-world engagement so we can see how we work together , happening in parallel with offer and terms discussion.

Join CEF AI as a Principal Software Engineer to help design and deliver the future of privacy-first, agentic AI. If you want to work on original systems that will define the next decade of compute - apply now.

Top Skills

Go
Kotlin
React
Rust
Typescript
Am I A Good Fit?
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The Company
HQ: San Francisco, California
25 Employees
Year Founded: 2024

What We Do

https://www.cef.ai/blog/the-cef-mission

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