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
Cloud • Security • Software • Cybersecurity • Automation
Leads complex, multi-workstream professional services programs for strategic customers. Responsibilities include defining delivery methodologies, managing roadmaps, dependencies, budgets, risks, schedules, stakeholders, and milestones; establishing program governance; communicating delivery metrics; and coordinating customer, engineering, security, architecture, and delivery teams. The role supports customer adoption and transformation through structured agile program execution in a remote environment.
Top Skills:
AgileDevsecopsGitlab
Cloud • Security • Software • Cybersecurity • Automation
Leads community growth strategy, member experiences, events, automated journeys, and integrated marketing for GitLab’s community programs. Builds programming calendars, collaborates with Sales, Customer Success, executives, and external partners, and uses AI and analytics to improve membership growth, engagement, retention, advocacy, and account participation.
Top Skills:
AICrm SystemsLifecycle MarketingMarketing AutomationWeb Analytics
Cloud • Security • Software • Cybersecurity • Automation
Provides post-sales technical guidance to customers adopting GitLab. Responsibilities include advising on implementation, architecture, DevSecOps workflows, source code management, CI/CD, and Agile Planning; delivering webinars, labs, office hours, workshops, and demos; creating reusable enablement content; and partnering with Customer Success Managers, Account Executives, and Renewals Managers to drive customer outcomes.
Top Skills:
Agile PlanningContinuous DeliveryContinuous IntegrationDevsecopsGitlabYoutubeZoom
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
