Backend AI Engineer

NetWeb Software; United States; A distancia; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

NetWeb Software is seeking an elite Lead Full Stack AI Engineer to design operator control planes for the enterprise AgenticOps platform. You will connect real-time web interfaces with asynchronous multi-agent backends, turning complex agent reasoning and automated remediation into intuitive interfaces for IT and SOC operators.

You will bridge frontend performance with modern AI frameworks and integrations, building high-performance visuals and streaming pipelines while ensuring robust

Formación

• 8+ years building enterprise-grade full-stack web applications.
• 3+ years on AI/LLM-native interfaces, observability platforms (APM/SIEM), or network operations tooling.

Responsabilidades

• Develop dynamic topology and DAG visualizations for large-scale enterprise networks.
• Engineer low-latency streaming pipelines and bidirectional communication (WebSockets/SSE).
• Build BFF/edge middleware with Go, Python (FastAPI) or TS, including RBAC and SAML/OIDC.
• Implement AI-assisted SDLC workflows, automated scaffolding, and synthetic UI testing.

Conocimientos

TypeScript

React/Next.js

Tailwind CSS

State management (Zustand, TanStack)

Real-time streaming

WebSocket / SSE

RBAC / SAML/OIDC

Frontend performance

UI/UX for AI systems

AI/LLM interfaces

Herramientas

React Flow

Cytoscape.js

PixiJS

D3.js

WebGL

Go

Python (FastAPI)

TypeScript tooling

Descripción del empleo

We are seeking an elite Lead Full Stack AI Engineer to design and build the operator control plane for our enterprise AgenticOps platform. In this role, you will connect real-time web interfaces with asynchronous multi-agent backends—turning complex agent reasoning, dynamic network topologies, and automated remediation runs into intuitive, transparent interfaces for IT and SOC operators. You will bridge frontend performance with modern AI frameworks, NVIDIA/Cisco integrations, and open-source tooling.

• Dynamic Topology & DAG Visualization: Develop high-performance WebGL/canvas-based visual interfaces to render large-scale enterprise network maps, asset dependencies, and live multi-agent execution graphs without UI lag.
  


• Low-Latency Streaming Pipelines: Engineer bidirectional streaming protocols (WebSockets, SSE, gRPC-Web) to handle real-time agent thought streams, tool invocation payloads, and live terminal outputs.
  


• BFF & Edge Middleware: Build performance backend-for-frontend (BFF) layers in Go, Python (FastAPI), or TypeScript, implementing session state persistence, token caching, SAML/OIDC authentication, and fine-grained RBAC.
  


• AI-Augmented SDLC: Utilize AI-assisted development workflows, automated component scaffolding, synthetic UI testing, and continuous eval pipelines to accelerate delivery.
  

Required Qualifications:

• Experience & Track Record: 8+ years building enterprise-grade full-stack web applications, with 3+ years focused on AI/LLM-native interfaces, observability platforms (APM/SIEM), or network operations tooling.
  


• Frontend Architecture: Deep mastery of TypeScript, React / Next.js, Tailwind CSS, state management (Zustand, TanStack Query), and rendering optimization for real-time streaming data.
  


• Graph & Canvas Visualization: Production expertise with canvas/SVG/WebGL visualization libraries (React Flow, Cytoscape.js, PixiJS, D3.js) for large-scale hierarchical graphs and multi-step agent reasoning trees.
  


• Streaming & Real-Time Protocols: Production fluency with SSE, WebSockets, and chunked streaming, managing partial token rendering and optimistic UI states under network latency.
  


• UX for Autonomous Systems: Strong design intuition for non-deterministic software: progressive disclosure of reasoning, confidence/risk scoring, before-and-after diff previews, and safety-critical confirmation workflows.
  

Mandatory:

Experience

• 8+ years building enterprise-grade full-stack web applications


• 3+ years on AI/LLM-native interfaces, observability platforms (APM/SIEM), or network operations tooling

Frontend

• TypeScript, React / Next.js, Tailwind CSS


• Rendering optimization for real-time streaming data


• Production experience with at least one of React Flow, Cytoscape.js, PixiJS or D3.js (canvas/SVG/WebGL)


• Rendering large hierarchical graphs and multi-step agent reasoning trees

Real-Time Streaming

• SSE, WebSockets and chunked streaming


• Partial token rendering and optimistic UI under network latency


• Backend-for-frontend layers in Go, Python (FastAPI) or TypeScript


• SAML/OIDC authentication, RBAC, session state and token caching

AI & Agentic Ecosystem

• Agent frameworks: LangChain, LangGraph or Vercel AI SDK


• Consuming model endpoints from NVIDIA NIMs, vLLM or Ollama

UX for Autonomous Systems

• Progressive disclosure of reasoning, confidence/risk scoring, diff previews and safety-critical confirmations

Good to Have (Optional)

• gRPC-Web


• Local SLM deployment


• NVIDIA/Cisco platform integrations

AI-assisted SDLC: component scaffolding, synthetic UI testing, continuous eval pipelines