[Hiring] Senior Software Engineer AI/ML @Finite State

Role Description

We are looking for a mid-level AI/ML Software Engineer to join our Advanced Development team in Singapore. This role focuses on building intelligent security solutions powered by LLMs and modern AI frameworks. You’ll work closely with senior engineers and researchers to implement key modules in threat modeling automation, vulnerability detection, and AI-enhanced regulatory compliance.

This is an excellent role for a technically strong engineer with applied ML experience who wants to contribute to real-world cybersecurity products and grow into a senior AI engineer or team lead.

What You’ll Do

• AI Application Development
  • Develop backend logic for AI-driven security features, such as automated TARA workflows and threat detection agents.
  • Build and maintain inference pipelines using LLMs (OpenAI, Claude, Cohere, etc.).
  • Write prompts and fine-tune model inputs to align with security analysis tasks.
  • Work on AI-based decision trees and reasoning engines for compliance enforcement.
• System Integration & Backend Engineering
  • Integrate AI modules into FS's broader application stack (APIs, databases, security tools).
  • Build clean, reusable code for model orchestration, pre/post-processing, and storage.
  • Collaborate with frontend developers on model UI and results visualization.
  • Participate in code reviews, testing, and deployment planning.
• Cross-Team Collaboration
  • Pair with security researchers and data engineers to align on logic and datasets.
  • Support product releases by maintaining technical documentation and internal demos.
  • Contribute to internal tools for benchmarking, model monitoring, or prompt management.

Qualifications

• 2–4 years of experience in backend or full-stack software development.
• Proficiency in Python, with experience using ML/NLP frameworks (e.g., LangChain, Transformers, OpenAI API).
• Solid understanding of API design, microservices, and RESTful service development.
• Experience deploying ML models into production workflows.
• Familiarity with Git, Docker, and CI/CD workflows.
• Experience working on AI or automation in security, DevSecOps, or compliance.
• Exposure to basic cybersecurity principles, SBOM, or threat modeling.
• Knowledge of graph databases or reasoning over security metadata.
• Interest in growing toward technical leadership or product ownership.

Your 90-Day Success Path

• 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work.
• 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling.
• 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development.

Benefits

• Investment: We offer learning stipends to support your professional development.
• Equity: We offer equity so you can share in our growth and success.
• Help solve some of the most pressing cybersecurity challenges facing connected device manufacturers and the millions of people who depend on them.

Company Description

At Finite State, we're on a mission to secure the connected world. Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems. From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers.

• We move with urgency and intent — we’re transparent, own outcomes, put customers first, speak up, and learn fast — turning evidence into action.
• CLARITY is how we move fast without breaking trust.
• Bold Innovation – We push boundaries, explore new ideas, and take initiative to solve complex problems.