Full Stack Developer (AI/LLM)

Location: Remote with working hours aligned to GMT+0/GMT+4

Company

hirify.global develops AI technology that identifies and optimizes mobile assets and supports the creation of profitable mobile businesses.

What you will do

• Architect, build, and maintain scalable backend services and core platform systems using Go and Node.js/TypeScript.
• Design and ship production-grade AI/LLM integrations, intelligent product features, and internal tools.
• Develop responsive React interfaces that deliver complete end-to-end functionality.
• Use AI development tools and agents such as Cursor, Claude, and GitHub Copilot for coding, testing, and system design.
• Assess architecture risks, estimate delivery timelines, and optimize system performance with other team members.

Requirements

• 5+ years of commercial experience building and running large-scale production systems.
• 3+ years of production backend experience with Go, Node.js/TypeScript, or another backend language such as Java or C#.
• Hands-on experience building AI/LLM-powered product features, including RAG pipelines, agentic workflows, LLM API integrations, or prompt-driven features.
• Working proficiency with React or a similar modern UI framework and ability to work across frontend and backend code.
• Experience with AWS, GCP, or similar cloud platforms and at least two databases or data stores, including MySQL, PostgreSQL, MongoDB, or Redis.
• Excellent written and verbal English communication skills, with availability aligned to GMT+0/GMT+4.

Nice to have

• Experience with broader machine learning or data science technologies beyond LLM features.
• Experience fine-tuning models or using model evaluation and observability tooling.
• Open-source project or library contributions.

Culture & Benefits

• Fully remote freelance engagement with full-time availability.
• Work on AI technology for mobile asset optimization and product development.
• Use modern AI tools and agents in day-to-day engineering work.

Hiring process

• 30-minute HR interview focused on background and fit.
• Approximately two-hour take-home challenge reflecting real work.
• 60-minute technical interview followed by a 60-minute final interview.