Remote Fullstack AI Engineer - Cybersecurity & LLMs

Allen Recruitment; California; Hybrid; USD 130,000 - 210,000; Full time

Job summary

Allen Recruitment represents a US-based cybersecurity startup seeking a seasoned Fullstack AI Engineer to own the AI integration lifecycle—from data collection to API management and UI delivery.

The role emphasizes building reliable AI features, collaborating with customers, and delivering fast iterations in a high-growth environment with strong emphasis on security and performance.

Qualifications

• Extensive fullstack development experience with Go and Python.
• Significant frontend work using JavaScript and React.
• Hands-on AI/LLM integration in production environments.
• Security data handling to feed AI models effectively.
• UI/UX development for actionable AI insights.
• Performance monitoring with caching, logs and traces.

Responsibilities

• Develop and deploy AI features within a cybersecurity application.
• Handle data aggregation, API communications and UI creation.
• Monitor operations and ensure reliability and user experience.
• Collaborate closely with customers for rapid iteration.

Skills

Extensive fullstack development

Go

Python

JavaScript

React

AI/LLM integration

Security data handling

UI/UX for insights

Performance monitoring

Tools

REST

gRPC

UI tooling

Job description

If you’ve actually shipped LLM/agentic features into production (not just demos), this is a rare role where that experience is the main event.

We’re hiring a hands-on Fullstack Engineer to build “AI features” end-to-end inside a cybersecurity product: gather the right context from the platform, orchestrate LLM/agent calls reliably (auth, retries, rate limits, fallbacks), and turn outputs into clear, actionable workflows in the UI that real users trust.

This is a high-ownership, product-first environment. You’ll ship quickly, see how customers use (or don’t use) what you built, and iterate until it’s genuinely useful.

What you’ll own

• End-to-end AI feature delivery: context → LLM/agent service → product workflow/UI
• Production-grade integrations: authentication/key handling, error states, retries, latency/perf tuning, safe degradation when AI services are down
• UI that makes AI usable: React/TypeScript components that turn “model output” into decisions, recommended actions, and automation suggestions
• Operability: monitoring/logging/metrics, usage analytics, and feedback loops so the AI improves over time

What we’re prioritising

• Hands-on LLM implementation in production (you’ve built it, shipped it, supported it)
• Agentic AI projects (tool/function calling, multi-step orchestration, real workflows; RAG a plus where relevant)
• Startup / product-company experience (pace, ambiguity, ownership)
• Strong product ownership mindset (you care about outcome, not just tickets)
• Bonus: security product exposure (SIEM/EDR/IAM, alerting/findings, investigations, compliance workflows)

Tech stack

• Core stack is Go + React/TypeScript (some Python in the mix)
• Go is a strong preference, but it’s not a hard requirement if you’re a strong engineer who can transition into Go quickly
• What matters most is proven “LLM/agentic shipping” + end-to-end ownership

Logistics / constraints

• Fully remote, but you must be based in the US or Europe (permanent hire via local entity/EOR)
• You need consistent overlap with core Central US hours

Next Steps

Apply with your CV, and we’ll come back quickly to arrange a first conversation.