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3 weeks ago
We are building a next-generation platform for AI-powered applications. This role is for senior and expert developers who want to shape the architecture, design, and engineering of a system that combines workflow orchestration, agent tooling, retrieval-augmented generation (RAG), and full-stack extensibility. You will be working on both backend and frontend systems that empower developers and enterprises to build, deploy, and scale intelligent applications seamlessly.
Key Responsibilities- Architect and implement core systems for an LLM-powered application platform, including:
- Visual workflow design and orchestration.
- Retrieval pipelines (data ingestion, embedding, vector search, knowledge base management).
- Agent tooling and integrations with third-party services.
- Extensible plugin or SDK framework for custom development.
- Develop and maintain a robust multi-model infrastructure supporting open-source and commercial LLMs, vector databases, and APIs.
- Full-stack engineering:
- Build modern UIs for workflow and prompt management.
- Implement backend APIs, data pipelines, and integrations.
- Ensure production-ready deployments with Docker/Kubernetes.
- Lead system design and scalability decisions, driving best practices across performance, monitoring, and observability.
- Collaborate cross-functionally to define product direction, integrate user feedback, and mentor other developers.
- 5+ years of full-stack engineering experience (JavaScript/TypeScript, React, Node.js or Python).
- Proven track record in scalable backend development (APIs, data pipelines, microservices).
- Strong knowledge of LLM application architectures, including embeddings, RAG, and workflow orchestration.
- Proficiency with containers and deployment automation (Docker, Kubernetes).
- Solid experience with relational and non-relational databases, and ideally vector search systems.
- Ability to lead technical discussions and guide architectural decisions.
- Experience with agent frameworks, tool integrations, or extensible plugin SDKs.
- Familiarity with observability/telemetry systems for monitoring model performance.
- Knowledge of real-time collaboration features, embeddable chat UIs, or multi-tenant architecture.
- Prior contributions to AI/ML or developer tooling products.
- Build a high-impact AI platform from the ground up.
- Work with cutting-edge LLM technologies in production environments.
- Join a senior, expert-level engineering culture with freedom to influence architectural and product decisions.
- Opportunity to shape open, extensible systems used by developers and enterprises worldwide.
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