Staff Engineer
Ogment AI
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Benefits offered by this job
Job summary
Qualifications
- 7+ years of experience in software engineering, focusing on full-stack systems.
- Extensive experience with React and backend Node.js development.
- Proven ability in AI/LLM features utilizing OpenAI/Anthropic APIs.
Responsibilities
- Build and ship product features from frontend to backend.
- Implement AI agent systems using various AI SDKs.
- Drive engineering excellence through best practices.
Skills
Tools
Job description
We’re building an MCP platform that connects AI models (ChatGPT, Claude, Cursor) to real data and services. We are looking for an experienced Staff Engineer, to design and ship scalable LLM-powered systems across React/TypeScript/Node, drive architecture, and prototype agentic behaviors that push what’s possible.
- Direct influence on product and architectural decisions.
- Shape the engineering culture and architecture from the ground up.
- Work with cutting‑edge AI technologies as soon as they’re released.
- Flexible schedule and remote‑first environment.
At Ogment, we’re building the infrastructure that helps every company become AI‑native.
Our mission is simple but ambitious: make it effortless for people and software to work together through AI.
We do this by helping teams turn their tools, data, and APIs into MCPs (Model Context Protocol servers) — the emerging standard for connecting AI models like ChatGPT, Claude, and AI coding IDEs such as Cursor or VS Code Copilot to real‑world systems, data & services.
With Ogment:
- A SaaS company can turn its product into a chat‑ready MCP in minutes.
- A data provider can expose analytics securely to AI assistants.
- An engineering team can connect internal APIs to Cursor for faster dev cycles.
- Even non‑technical teams can build private MCPs for finance, product, or operations — automating work safely inside their AI tools.
We’re at the forefront of a major shift: as AI becomes a primary interface to software, Ogment provides the plumbing, security, and simplicity that make this transition possible.
If you want to shape how the next generation of software connects to intelligence, you’ll love building it here.
- Build and ship product features end‑to‑end — from TypeScript/React frontends to backend services integrating large language models (LLMs).
- Implement AI agent systems using the AI SDK (Anthropic, OpenAI, Google) with agentic workflows, multi‑step tool calling, streaming responses, and conversation state management.
- Develop and maintain MCP proxy and server infrastructure.
- Design and refine world‑class UX/UI components and flows.
- Collaborate with product and design to translate ambiguous ideas into reliable, user‑centered features.
- Drive engineering excellence, implementing best practices for reliability, testing, and continuous deployment.
- Contribute to culture and strategy, helping Ogment grow a high‑performing, mission‑driven engineering team.
- 7+ years of experience in software engineering, with a focus on full‑stack TypeScript / React / Node.js systems.
- Expert React skills — hooks, context, performance optimization, and modern patterns (not just basic CRUD apps).
- Backend experience with Node.js — you’ve built APIs, handled concurrency, managed database connections, and debugged production issues.
- Strong systems design and architectural thinking, especially in early‑stage or high‑growth environments.
- AI/LLM implementation experience — you’ve shipped features using OpenAI/Anthropic APIs with tool calling, streaming, or agents (not just experimentation).
- Database skills — you can design schemas, write efficient queries, understand indexes, and handle migrations.
- Ability to lead projects end‑to‑end, from ideation through launch and iteration.
- Excellent communication skills, with a collaborative and pragmatic approach.
- A passion for AI — you enjoy experimenting, learning, and pushing the boundaries of what’s possible.
These are provided as guidance, not as strict requirements.
- Frontend: React, TanStack Router, TanStack Query, TanStack Table, Zod, Tailwind CSS
- Backend: Express, tRPC, Inversify (DI), Supabase client, AI SDK (Vercel)
- Database: PostgreSQL (via Supabase), Row‑Level Security policies, database functions
- AI/LLM: OpenAI SDK, Anthropic SDK, streaming responses, tool calling, agentic loops
- Infrastructure: Docker, Docker Compose, Nomad orchestration, Ansible automation, Fly.io
- Observability: Sentry, Langfuse, PostHog, Pino structured logging
- Testing: Vitest, Playwright, Supertest
- Authentication: Clerk
- Experience building agents, AI orchestration layers, or autonomous tool‑using systems.
- Background in developer tools, platform engineering, or AI product infrastructure.
- Contributions to open‑source AI projects or technical writing in the AI ecosystem.
- Experience with OAuth 2.0 flows, JWTs, token refresh, and session management — identity management at the enterprise level.
- A good understanding of real‑time features with Server‑Sent Events or WebSockets.
- Worked with the Model Context Protocol (MCP) or built integrations with external APIs.
Mid‑Senior level
- Full‑time
- Engineering and Information Technology
- Technology, Information and Internet
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