Senior Software Engineer, AI-Native Development

tl;dr: We're a VC-backed startup building an AI-native SDLC operating system. We're assembling a small, elite engineering team that reports directly to the CTO. We're looking for a Senior Software Engineer who lives and breathes AI-native development to help design and build our core product using agentic AI, LLMs, and modern cloud infrastructure.

Why Join?

Other than the cool tech and the chance to shape an entire product from the ground up:

• Elite team, zero bureaucracy. This is a small, handpicked engineering unit reporting directly to the CTO. No layers, no intermediaries. You'll have a direct line to strategy and decision-making from day one.
• Speed is the mission. We move fast and ship constantly. Think rapid prototyping, tight feedback loops, and weekly demos. If you thrive in high-tempo environments where you own problems end-to-end, this is your team.
• Build the tools you wish existed. We're tackling one of the biggest friction points in modern AI driven software delivery, using AI to fundamentally change how developers and agents collaborate and ship code.
• AI-native from day one. This isn't "sprinkle AI on top." Our entire architecture, workflow, and engineering culture is built around agentic AI and LLM-powered systems.
• Move the needle. As an early team member, your work directly drives the success of the company. There's nowhere to hide, and no reason to want to.

If this sounds like your kind of challenge, we think you'll fit right in.

Our Tech Stack & Engineering Culture

We are building an AI-native platform with a brand-new, greenfield UI. Our stack reflects that:

• AI/Agent Frameworks: LangGraph, LangChain, Pydantic AI, DSPy, CrewAI
• LLM Integration: OpenAI, Anthropic Claude, model orchestration and evaluation
• Protocols: MCP (Model Context Protocol), A2A (Agent2Agent)
• Backend: Node.js / Python
• Frontend: React, Next.js, TypeScript, Tailwind CSS, shadcn/ui, Motion
• Infrastructure: AWS, serverless, Kubernetes
• Data: Graph databases, document stores, vector databases
• Observability: LangSmith, agent tracing and eval pipelines
• DevEx: Claude Code (skills, MCPs), Cursor. AI-assisted development is how we work, not a nice-to-have.

What we care about:

• AI-native engineering. You use AI tools daily to write, review, debug, and ship code. You're not just building AI products; you're building with AI.
• Velocity with quality. We ship fast, but we don't cut corners. Clean code, solid architecture, and good tests are how you go fast without breaking things.
• Letting developers develop. No endless meetings, procedures, or rules.
• Direct involvement in architecture decisions and product roadmap.
• Open-source use and contribution.

What Do We Expect You to Bring to the Table?

We believe that for every great relationship, there must be good synergy between the partners. Here's what we're looking for:

You must:

• Be a decent person
• Assume best intentions (we know we will!)
• Enjoy your work, working with your team, and be proud of it
• Be driven to build something amazing
• Have strong opinions, but hold them loosely
• Be comfortable with ambiguity and moving fast in uncharted territory
• Learn something new every day

Technical skills that will make you successful:

• Agentic AI development. Hands-on experience building with LangGraph, LangChain, Pydantic AI, CrewAI, or similar agent frameworks. You understand agent design patterns, tool calling, memory, and orchestration.
• LLM engineering. Prompt engineering, RAG pipelines, model evaluation, fine-tuning workflows. You know how to get reliable, production-quality output from LLMs.
• AI-native development workflow. You actively use Claude Code (skills, MCPs), Cursor, or similar AI-powered development tools as a core part of how you write software. You can talk about how these tools change your engineering process.
• Modern frontend chops. Experience building polished, responsive UIs with React, Next.js, TypeScript, and Tailwind CSS. Bonus points for shadcn/ui, Framer Motion, or similar modern component tooling.
• Strong software engineering fundamentals. Solid understanding of TypeScript/Python, API design, distributed systems, and cloud infrastructure (AWS).
• Developer ecosystem fluency. Deep familiarity with developer platforms, APIs, and collaboration workflows (source control, CI/CD, code review).
• Bias for action. You default to shipping. You'd rather put something in front of users and iterate than spend weeks perfecting a design doc.

What Will You Be Doing?

You'll be part of a small, high-caliber team working directly with the CTO to rapidly design, build, and ship the AI-powered systems at the heart of our product. Think of it as a special ops unit for product development: small team, big mandate, fast execution.

You'll architect agentic workflows that analyze complex software artifacts and deliver meaningful, actionable insights to development teams. You'll also be building a brand-new, modern UI from scratch. You'll have real ownership over critical systems and the autonomy to make significant technical decisions.

On a typical day, expect to:

• Design and build agentic AI pipelines that power our core product intelligence
• Develop and optimize RAG systems, prompt chains, and LLM evaluation frameworks
• Build beautiful, responsive frontend experiences with React, Next.js, and modern component libraries
• Integrate with developer platforms and APIs across the software delivery lifecycle
• Build MCP servers and Claude Code skills that accelerate both our product and our own development workflow
• Contribute to architecture decisions on agent orchestration and system design
• Ship production features end-to-end
• Demo what you built this week

Perks

• Stock options with an early-stage startup
• Choice of hardware: MacBook Pro / Surface Laptop
• Claude Pro/Max plan and uncapped Cursor budget. We put our money where our mouth is on AI-native development.
• Unlimited PTO
• Health, dental, and vision insurance
• Flexible hours / remote-friendly
• Employee referral program