Senior Software Engineer (AI, AWS & Python)

Location: Budapest, Hungary. Hybrid work model with onsite attendance at least 50% of the time for employees within commuting distance of a hirify.global office.

Company

hirify.global provides AI-powered governance, risk, and compliance SaaS solutions through the hirify.global One Platform.

What you will do

• Design, develop, deploy, monitor, scale, and troubleshoot ML- and LLM-based systems powering shared AI services.
• Build secure, high-performance microservices and platform components on AWS, owning services from implementation through production monitoring.
• Productize AI capabilities in collaboration with Applied Scientists, Product teams, and Software Engineers.
• Develop reusable AI libraries, frameworks, internal tooling, and platform infrastructure for multiple engineering teams.
• Evaluate and pilot AI tools to improve performance, cost efficiency, reliability, and developer productivity.
• Build privacy, security, observability, compliance, and governance into systems handling sensitive customer content.

Requirements

• 5+ years of experience delivering secure, scalable applications in agile environments.
• Strong software design fundamentals and experience writing readable, maintainable, well-tested code.
• Hands-on experience with Python and Node.js/TypeScript on a major cloud platform, preferably AWS.
• Experience with serverless or microservice patterns, infrastructure as code, CI/CD, containerization, and observability tooling.
• Experience operating backend services or microservices and understanding the full lifecycle of AI-based solutions.
• Practical experience with LLM-based systems or adjacent AI technologies, plus strong communication and leadership skills.

Nice to have

• Hands-on experience with AWS CDK.
• Experience with prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions, or MCP servers.
• Experience developing AI evaluation, observability, or governance mechanisms for production systems.
• Experience shaping shared platform capabilities, improving cloud AI performance and reliability, or mentoring peers.

Culture & Benefits

• Flexible hybrid work environment with global teams and office hubs across multiple countries.
• Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
• Global days of service and support for employee resource groups, learning, and inclusion.
• Culture focused on creativity, experimentation, continuous learning, and positive impact.