AI Engineer Cybersecurity Platform (Full Stack / DevOps / LLM)

Company Description

We are building an enterprise-grade Automated Penetration Testing & Security Assessment Platform designed to help organizations continuously validate their security posture through AI-driven assessments, attack simulations, and automated reporting.

Our MVP is developed using a modern no-code foundation, and we are now scaling toward a cloud-native, highly scalable, production-ready architecture with AI-assisted capabilities.

We are looking for a highly skilled AI Engineer who can work across backend systems, AI integrations, DevOps, and scalable infrastructure to help transform the platform into a production-ready SaaS offering.

Role Description

The AI Engineer will be responsible for designing, developing, and deploying AI-powered features and scalable backend services for our cybersecurity platform.

This role requires strong expertise in:

LLM integrations

Backend engineering

Cloud-native architecture

DevOps automation

Security-focused environments (Docker/Kali containers)

You will work closely with product architects, security researchers, and frontend engineers.

Key Responsibilities

AI & LLM Engineering

Integrate external LLM APIs and deploy custom/self-hosted LLM models

Build AI agents for:

Automated pentest workflows

Security assessment reasoning

Report generation

Attack path analysis

Optimize prompts, latency, and cost efficiency

Implement RAG pipelines using vector databases

Build AI orchestration workflows

Backend & Platform Development

Develop scalable services using:

FastAPI

Node.js

TypeScript

Design REST and async APIs for platform modules

Implement job orchestration and task queues using Redis

Work with PostgreSQL (Supabase) data architecture

Cloud & DevOps

Design and manage containerized environments:

Docker

Kubernetes

Deploy scalable infrastructure on cloud platforms

Build CI/CD pipelines (GitHub Actions / GitLab / similar)

Optimize system performance, reliability, and observability

Security Platform Integration

Integrate containerized security tools (Kali Linux environments)

Build orchestration logic for automated security testing workflows

Implement secure multi-tenant architecture

Performance & Scalability

Design horizontally scalable architecture

Optimize system for large concurrent scans

Implement caching layers with Redis

Improve latency of AI and backend services

Required Technical Skills

Core Engineering

Strong experience with:

Python (FastAPI)

Node.js

TypeScript / JavaScript

Experience with React ecosystem (collaboration level)

AI / LLM

Experience integrating:

OpenAI / Anthropic / other LLM APIs

Experience with:

LangChain / LlamaIndex / agent frameworks

RAG pipelines

Prompt engineering

Fine-tuning or custom model deployment (preferred)

DevOps & Infrastructure

Docker & container orchestration

Kubernetes production deployments

CI/CD pipeline implementation

Redis (queues, caching)

PostgreSQL performance optimization

Cloud Platforms (Preferred)

AWS / GCP / Azure

Infrastructure as Code (Terraform preferred)

Preferred Experience (Highly Valuable)

Cybersecurity or penetration testing domain knowledge

Experience with:

Security tools automation

Offensive security environments

SOC / detection / BAS platforms

Experience building SaaS products from MVP to scale

Multi-tenant architecture experience

Qualifications

Bachelors or Masters in Computer Science, AI, or related field

37+ years experience in software engineering

2+ years working with AI/LLM systems (preferred)

What Makes You a Great Fit

You enjoy building complex systems from scratch

You are comfortable working in startup-style environments

You think about scalability, reliability, and architecture

You are passionate about cybersecurity and AI innovation

Nice to Have

Experience with vector databases

Knowledge of distributed systems

Experience with agentic AI frameworks

Knowledge of security compliance (ISO, SOC2)