TL;DR

Senior Software Engineer (AI Engineering): Design and deliver scalable AI-driven systems for a Human Risk Management platform with an accent on turning research prototypes into secure, reliable, production-ready services. Focus on full-stack AI engineering at scale, ensuring reliability, explainability, and security matter as much as innovation.

Location: Remote positions open to the US only.

Salary: $140,000 - $180,000

Company

%hirify_global% is a cybersecurity company that empowers over 70,000 organizations worldwide with an AI-driven Human Risk Management platform.

What you will do

Design and deliver scalable AI systems connecting models, data, and products.
Transform research prototypes into secure, reliable, production-ready AI services.
Build data pipelines and serving layers for adaptive, real-time features.
Collaborate with engineering teams to ensure system performance and reliability.
Create reusable SDKs and libraries to accelerate AI adoption company-wide.
Champion observability, testing, and secure-coding best practices.

Requirements

5+ years of experience building and operating large-scale, cloud-native or SaaS systems (preferably in AWS).
Proficiency in Python and modern API frameworks such as FastAPI or Flask.
Hands-on experience with CI/CD pipelines (GitLab) and infrastructure-as-code (Terraform).
Practical experience delivering AI/ML features (RAG, orchestration, embeddings, or agentic workflows) in production.
Commitment to engineering quality, designing for reliability, testability, and long-term maintainability.

Nice to have

Experience with LLM and orchestration frameworks (LangChain, LangGraph, Hugging Face, PyTorch).
Familiarity with data processing and analytics tools (PySpark, Polars, or Parquet).
A habit of turning new discoveries into reusable knowledge for the team.

Culture & Benefits

Company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, and tuition/certification reimbursement.
Work in a modern, high-tech, and fun environment with team lunches, trivia competitions, and local outings.
Collaborative culture with small, high-ownership teams that ship fast and learn together.
Dedicated budgets for certifications, conferences, and exploration time for continuous learning.
Emphasis on radical candor, low ego, high accountability, transparency, and trust.
Your work will help protect users across 70,000+ organizations globally.