Lead Fullstack 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 and build the operator control plane for the enterprise AgenticOps platform. You will connect real-time web interfaces with asynchronous multi-agent backends, translating complex agent reasoning into intuitive dashboards for IT and SOC operators.

Responsibilities include building a high-performance AgenticOps console, deploying WebGL/Canvas visualizations, and implementing secure BFF layers in Go, Python (FastAPI) or

Formación

• 8+ years building enterprise-grade full-stack web apps.
• 3+ years with AI/LLM-native interfaces and observability platforms (APM/SIEM) or network operations tooling.
• Proficiency with real-time streaming and frontend rendering for live data.
• Experience with visualizations using canvas/WebGL (React Flow, Cytoscape.js or D3.js).

Responsabilidades

• Build the operator cockpit with real-time telemetry streaming and HITL controls.
• Develop high-performance visuals for large-scale graphs and live multi-agent execution traces.
• Engineer bidirectional streaming pipelines (WebSockets, SSE, gRPC-Web).
• Create BFF layers in Go, Python (FastAPI) or TypeScript with RBAC and SAML/OIDC auth.
• Advance AI-enabled SDLC with automated scaffolding and synthetic UI testing.

Conocimientos

Full-stack web apps

AI/LLM interfaces

Observability platforms

TypeScript

React/Next.js

Tailwind CSS

State management

Rendering optimization

Canvas/WebGL visualization

React Flow

Cytoscape.js

D3.js

WebSockets

SSE

RBAC

SAML/OIDC

LangChain

LangGraph

Vercel AI SDK

NVIDIA NIMs

Herramientas

Go

Python (FastAPI)

TypeScript

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.

Core Responsibilities:

• Operator Cockpit & HITL Control: Build the primary AgenticOps console with real-time telemetry streaming, interactive multi-agent reasoning traces, execution dry-runs, and human-in-the-loop (HITL) approval/override controls.
• 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 performant 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