DX/AX Engineer ($175K – $250K + 0.1% – 0.5% Equity) at Blaxel at Jack & Jill/External ATS

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

250000.0

Posted On

14 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

TypeScript, Python, Go, CLI, SDKs, API Interfaces, Protocol Design, Infrastructure, Performance Optimization, Agentic AI Patterns, Developer Experience (DX), Agentic Experience (AX)

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. DX/AX Engineer ($175K – $250K + 0.1% – 0.5% Equity) at Blaxel - VC-backed AI infrastructure startup Company Description: Blaxel - First Round Capital-backed AI infrastructure startup Job Description: Join Blaxel as our first non-founding engineer to define the future of AI infrastructure. You will own the end-to-end developer experience and pioneer "Agentic Experience" (AX), designing interfaces optimized for both human developers and autonomous AI agents. This is a high-impact role building the serverless compute backbone for the next generation of AI companies. Why this role is remarkable: Pioneer a new category by defining the "Agentic Experience" (AX) playbook for how AI agents interact with cloud infrastructure. Join a elite team of 6 co-founders with deep infrastructure DNA (previously ForePaaS) and scale a platform already processing billions of requests. Backed by $7.3M in seed funding from top-tier investors like First Round Capital and Y Combinator (X25). What you will do: Design and maintain high-performance CLI, SDKs (TypeScript/Python/Go), and MCP servers that make the platform a joy for developers. Architect clever protocols and API interfaces specifically optimized for seamless consumption by autonomous AI agents. Relentlessly improve "time to aha moment" by obsessing over API naming, documentation flow, and error message clarity. The ideal candidate: Proven track record of owning DX at top-tier developer platforms like Vercel, Render, or Fly.io with strong TypeScript skills. Deeply fluent in agentic AI patterns with a builder mindset and the high-velocity execution of a former founder. Passionate about infrastructure and capable of refactoring complex APIs for clarity while maintaining sub-25ms performance standards. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI Career Agent that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

The engineer will own the end-to-end developer experience, defining the 'Agentic Experience' (AX) playbook and designing interfaces for human developers and autonomous AI agents. Responsibilities include designing and maintaining high-performance CLI, SDKs (TypeScript/Python/Go), and MCP servers, while architecting protocols optimized for AI agents.