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Über
We are seeking a
Full stack Lead
with a mastery of
Angular
and backend orchestration to spearhead the development of our
Agentic AI
platform. You will lead a team of engineers to build the interface and the "nervous system" that connects users to autonomous AI agents.
The ideal candidate understands that an Agentic AI UI is fundamentally different from a CRUD application-it requires handling real-time streaming, complex state management for multi-agent workflows, and highly interactive "canvas-style" workspaces.
Key Responsibilities Lead Architect for AI UX:
Architect and build a high-performance Angular frontend capable of handling real-time
Server-Sent Events (SSE)
and
WebSockets
for streaming AI "thoughts" and actions. System Orchestration:
Design the backend-to-frontend bridge that allows users to monitor, pause, and steer autonomous agents in real-time. Advanced State Management:
Implement robust state management (using
Signals
or
NgRx ) to handle the non-linear states of AI agents (e.g., Planning, Searching, Tool-calling, Error-recovery). Scalable API Design:
Lead the development of robust APIs (Python/FastAPI or Node.js) that act as the orchestrator between the Angular UI and the Agentic framework (LangGraph, AutoGen, etc.). Fullstack Observability:
Build tools for "Agent Observability," allowing users to debug agent decisions, view execution logs, and trace data lineage within the UI. Team Leadership:
Mentor a cross-functional team, conduct code reviews, and establish best practices for "AI-First" software engineering, focusing on low latency and high reliability. Technical Requirements
Frontend Mastery:
7+ years of experience in web development, with 4+ years specializing in
Angular (v16+ preferred) . Deep knowledge of
Signals , RxJS, and performance optimization. Backend Proficiency:
Strong experience in
Python (FastAPI/Flask)
or
Node.js , specifically in building asynchronous services that interface with LLMs. AI Integration:
Hands-on experience with
OpenAI/Anthropic APIs
and a conceptual understanding of how Agentic frameworks (like LangChain or LangGraph) function. Real-time Communication:
Expertise in streaming technologies (SSE, WebSockets) to provide a "live" feel as the agent works. Cloud & DevOps:
Experience with Docker, Kubernetes, and cloud providers (AWS/Azure/GCP) to deploy and scale AI-heavy workloads. Database Knowledge:
Proficiency with both relational (PostgreSQL) and Vector Databases (Pinecone, Milvus) for RAG-based applications. Preferred Qualifications
Experience building
Canvas-based
or
Node-based
UIs (e.g., using specialized libraries for drag-and-drop agent workflows). Prior experience in a lead role within a startup or a rapid-growth AI lab. Familiarity with Python-based AI libraries to better collaborate with AI Engineers.
Compensation, Benefits and Duration
Minimum Compensation: USD 46,000 Maximum Compensation: USD 162,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post
Sprachkenntnisse
- English
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