Sr. SW Engineer (AI Engineer)

Location: Singapore; hybrid with at least 3 days in the office.

Company

hirify.global is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities.

What you will do

• Build and operate cybersecurity AI products for enterprise security teams.
• Develop agentic solutions for threat investigation, alert triage, security workflow automation, vulnerability analysis, and security decision-making.
• Apply AI engineering practices across LLM applications, retrieval-augmented generation, tool orchestration, context management, and model evaluation.
• Build production-grade backend services, APIs, data pipelines, integrations, and cloud-native applications.
• Continuously research, test, and evaluate emerging AI technologies and improve product quality, safety, reliability, latency, and cost.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• At least 2 years of professional experience in AI engineering, machine learning engineering, software engineering, data engineering, or a related technical role.
• At least 1 year of hands-on experience building AI/ML, LLM-based, automation, data-driven, or intelligent software systems.
• Experience with LLM applications, AI workflow automation, AI assistants, copilots, or agentic AI systems, including prompt engineering, RAG, vector search, embeddings, tool calling, context management, and evaluation.
• Strong programming ability in Python, TypeScript/Node, Go, Java, C#, or Rust, plus experience with backend services, APIs, distributed systems, databases, CI/CD, automated testing, and production troubleshooting.
• Experience with AWS or Microsoft Azure and familiarity with containers, serverless services, managed databases, event-driven systems, observability, IAM, secrets management, and secure configuration.

Nice to have

• Graduate degree in computer science or a related field.
• Experience building AI agents, LLM applications, copilots, automation systems, or RAG-based products.
• Working knowledge of cybersecurity principles, secure software development, common vulnerabilities, application security, or cloud security.

Culture & Benefits

• Hands-on individual contributor role within a newly formed, small, fast-moving product development team.
• Ownership of outcomes, proactive problem-solving, continuous learning, experimentation, and knowledge sharing are expected.
• Work involves collaboration with product and security stakeholders while translating customer problems into practical AI-driven solutions.
• At least 3 office days per week are required, with specific expectations confirmed by the Hiring Manager.