Full Stack AI Developer (Agentic AI, Cybersecurity)

Location:
Remote (up to 10% travel) Duration: 6+ months Employment Type: W2 only

About the Role
We’re looking for a Full Stack AI Developer to build and support AI-powered cybersecurity applications on an enterprise security platform. You’ll work across the stack on agentic AI workflows, backend orchestration services, security-tool integrations, and real-time dashboards. The work spans vulnerability management, risk prioritization, and automated remediation.

Key Responsibilities
• Build control-plane UI features in TypeScript with Vue.js 3 (preferred) or React/Next.js. Examples include real-time agent streams, vulnerability dependency graphs, human-in-the-loop code-diff and approval panels, and executive metrics dashboards.
• Develop backend and orchestration services using Python (FastAPI, asyncio) and/or Go microservices, with resilient service-to-service communication and event-driven workflows.
• Build connectors for security tools, cloud platforms, code repositories, SIEM, ticketing, IAM, and third-party APIs. These must handle OAuth2 and token refresh, pagination, rate limits, retries, partial failures, and idempotent ingestion.
• Implement agentic AI workflows using LangGraph or custom agent loops, including:
• LLM function calling and tool execution
• Structured outputs with JSON Schema or Pydantic
• Model gateways, guardrails, validation, logging, and evaluation
• Server-side human approval controls
• Use Kafka, RabbitMQ, or Redis Streams for asynchronous processing,



and SSE/WebSockets for real-time status updates.
• Support vulnerability normalization and correlation, attack-path analysis, risk prioritization, remediation orchestration, and continuous validation.
• Apply secure coding practices, automated testing, observability, and performance tuning.
• Support deployments, troubleshooting, and production stabilization. Required Qualifications
• Proven experience building and running production systems.
• Solid Python skills (FastAPI, asyncio) and solid async/concurrent programming experience.
• Hands-on frontend experience with TypeScript and Vue.js 3, React, or Next.js.
• Hands-on experience with LLM-based applications, such as agent frameworks (LangGraph or similar), function calling, and structured outputs.
• Experience building API integrations with OAuth2, rate limiting, retries, and error handling.
• Experience with message brokers (Kafka, RabbitMQ, or Redis Streams) and real-time protocols (SSE/WebSockets).
• Operational or on-call support experience.
• A security mindset: you treat external data and AI-generated code as untrusted. Preferred Qualifications
• Go microservices experience.
• Cybersecurity domain experience, such as vulnerability management, SIEM, IAM, CSPM, or remediation tooling.
• Experience with LLM evaluation, guardrails, and model gateway patterns.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments. Note: This position is open to W2 candidates only. No C2C or third-party submissions.

📌 Agentic AI, Cybersecurity (Montreal)
🏢 Aumnitech
📍 Montreal