Lead development of an enterprise AgenticOps control plane combining real-time React interfaces, graph visualizations, streaming protocols, BFF middleware, authentication, and AI agent integrations. Build operator cockpits with telemetry, reasoning traces, HITL approval workflows, topology maps, and remediation controls. Integrate LangChain, LangGraph, model endpoints, and automation tools while optimizing performance, security, and user experience for autonomous systems.
This is a remote position.
Position Overview:
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 Tooling & Ecosystem Integration: Connect the UI layer to agent runtimes, open-source automation tools (OpenClaw, Browser-Use), and model endpoints powered by NVIDIA NIMs, vLLM, and local SLMs.
- 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.
- AI & Agentic Ecosystem: Hands-on experience with modern agent frameworks (LangChain, LangGraph, Vercel AI SDK), open-source agentic tools (OpenClaw, Browser-Use), and consuming endpoints from NVIDIA NIMs, vLLM, or Ollama.
- 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
- State management: Zustand, TanStack Query
- Rendering optimization for real-time streaming data
Graph & Visualization
- 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 / BFF
- 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
- Human-in-the-loop (HITL) approval/override workflows
- Progressive disclosure of reasoning, confidence/risk scoring, diff previews and safety-critical confirmations
Good to Have (Optional)
- gRPC-Web
- OpenClaw, Browser-Use
- Local SLM deployment
- NVIDIA/Cisco platform integrations
- AI-assisted SDLC: component scaffolding, synthetic UI testing, continuous eval pipelines
Similar Jobs
Artificial Intelligence • Healthtech • Mobile • Software • Telehealth • Generative AI
Provides non-clinical, bilingual care coordination through virtual channels. Responsibilities include scheduling, follow-up outreach, connecting members with resources, resolving access barriers, troubleshooting technology issues, supporting workflows, and escalating clinical or urgent concerns to licensed staff. The role requires weekend and holiday availability, plus four weeks of full-time paid training.
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads product operations by enabling AI workflows, owning product tooling and infrastructure, governing integrations and access, managing vendors, standardizing product lifecycle processes, and building measurement systems. The role also stewards the product operating system, drives adoption and change management, facilitates cross-functional feedback mechanisms, and establishes metrics for operational effectiveness.
Top Skills:
Ai AgentsAi AutomationsAi ConnectorsAi ToolsDashboardsJira Product DiscoveryPendoSalesforceSession ReplaySystem Integrations
Fintech • Software
Manage client accounts and projects through document composition, manufacturing, SEC EDGAR filings, printing, and final distribution. Serve as the primary customer liaison, translate requirements into workflow instructions, monitor SLAs and quality standards, coordinate internal teams and vendors, resolve issues, review deliverables, and support client presentations. Mentor associates, improve workflows, and ensure accurate, timely service delivery across multiple concurrent projects.
Top Skills:
ArcproArcreportingDfin EspDfin ProfileExcelMicrosoft Office SuiteMicrosoft Power AppsMicrosoft Power BiMicrosoft PowerpointMicrosoft WordSalesforceSec EdgarXbrl
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
