Software Engineer - AI Developer Experience
Company Overview:
Maven AGI is an enterprise AI platform on a mission to unleash business artificial general intelligence (AGI), starting with customer service. Founded in July 2023 by executives from HubSpot, Google and Stripe, Maven builds conversational AI agents capable of delivering accurate, autonomous support that delights customers at scale.
Our platform unifies fragmented systems, integrates knowledge and personalization sources, and enables intelligent actions - all without costly system changes. We’re laying the foundation for a future where our technology handles complex tasks, allowing people to focus on what they do best: creative problem-solving, relationship building, and delivering exceptional customer experiences.
We’ve started by reimagining the enterprise customer experience with a support use case. We believe that today’s support experience is broken: slow and painful for customers, and expensive and human capital intensive for companies.
We are building Maven to deliver better, cheaper support, for both end users and agents. With recent advancements in Generative AI, it is now possible to deliver delightful customer experiences at a fraction of today’s cost.
Team:
The AI Developer Experience (DX) team owns the tools and services that empowers anyone - technical and non-technical - to build integrations and extensions on the Maven AGI platform. We marry state-of-the-art language models and zero-ops deployment technologies with intuitive product surfaces, enabling rapid “Vibe coding” experiences on our platform. At Maven, everyone can be a “developer”. We’re the team that makes it real.
Position Overview:
As a Software Engineer on the AI DX team, you will own end-to-end product features - from pixel-perfect UI to scalable backend APIs - that make building on Maven simple, fast, and even fun. You’ll collaborate with design, product and customer engineering to ship delightful experiences that hide the LLM complexity behind an intuitive product user experience.
What You’ll Do:
Design and build full-stack features that let users create, test, and deploy integrations with minimum operational complexity.
Implement AI-powered code generation workflows using state-of-the-art large language models and protocols.
Shape developer user experience through developer surfaces that enable AI-assisted integration development for all.
Own services on modern serverless runtimes on platforms like Vercel, AWS Lambda, and Cloudflare Workers.
Drive quality and reliability for integrations via automated test frameworks, CI/CD, and observability features.
Collaborate cross-functionally with Core Platform, Product and Customer Engineering teams to keep developer surfaces aligned with product strategy.
Requirements
Who You Are:
Full-stack experience with JavaScript/TypeScript and frontend frameworks such as React or Next.js; comfortable diving into both UI and backend.
Familiarity with cloud technologies like Vercel, AWS, etc.
Exposure (or keen interest) to LLM-based systems - prompt engineering, embedding, function calling - or a strong desire to learn fast.
Passion for product-driven development and an instinct for delivering intuitive user experiences.
Demonstrated ownership and autonomy, you thrive in ambiguous, 0-to-1 problem spaces and bias towards action.
Bonus: contributions towards OSS, or prior projects (work or personal) in the AI space.
Benefits
What We Offer:
- High Impact in cutting-edge field: Be at the vanguard of AI innovation.
- Compensation Package: Competitive salary, comprehensive benefits, and meaningful equity stakes.
- Inclusive Culture: A diverse and welcoming work environment where everyone’s voice is heard.
What unites us is our Values and the passion we share to live by them:
- We are customer champions.
- We are bold in action.
- We are data-driven and insight guided.
- We are stronger together.
MavenAGI is an equal opportunity employer that values diversity and is committed to fostering an environment where everyone feels included.
Join us in changing the face of enterprise customer support.
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