Senior AI Engineer

About the Role

We are looking for a hands-on Senior AI Engineer / AI Architect to help design and build a next-generation cybersecurity product.

The ideal candidate combines strong experience in software engineering, AI architecture, and product development, and can take capabilities from requirements and architecture through development, testing, deployment, and production optimization.

This is not a prompt-engineering or prototype-only role.

Key Responsibilities

Design and build scalable, secure AI-powered product capabilities.

Participate across the full SDLC: requirements, architecture, development, testing, deployment, monitoring, and improvement.

Develop solutions using LLMs, Generative AI, RAG, AI agents, ML, embeddings, and vector databases where appropriate.

Build backend services, APIs, integrations, and data pipelines.

Evaluate models and technologies based on accuracy, security, scalability, latency, and cost.

Implement AI evaluation, observability, security controls, and guardrails.

Work with cybersecurity data and workflows involving threat analysis, alerts, investigations, detection, and automation.

Provide technical leadership, code reviews, architecture guidance, and hands-on implementation.

Required Expertise

Strong Python and production software engineering experience.

Proven full-SDLC product development experience.

Strong software architecture, APIs, backend services, databases, and distributed systems knowledge.

Hands-on experience with LLMs, RAG, AI agents, embeddings, vector databases, and model evaluation.

Experience with frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, or equivalent.

Cloud, Docker, CI/CD, testing, monitoring, and production deployment experience.

Understanding of secure software development and AI security risks.

Preferred

Experience building cybersecurity, SaaS, or enterprise software products.

Familiarity with SIEM, EDR/XDR, SOAR, threat intelligence, incident response, or MITRE ATT&CK.

Experience with multi-tenant systems, high-volume data, MLOps/LLMOps, or event-driven architectures.

What We Are Looking For

We need someone who can independently move from: Requirements Architecture Development Testing Deployment Production

The candidate must be a strong software engineer and AI practitioner, not someone whose experience is limited to prompt engineering, chatbot development, or the integration of third-party AI APIs.