Forward Deployed Engineer

Responsibilities

• Take ownership of engineering tasks from initial requirements to production, using AI-assisted development tools to deliver working solutions quickly
• Independently clarify requirements, design technical solutions, and implement them with minimal oversight
• Handle end-to-end production readiness, including databases, secrets management, access controls, CI/CD, health checks, resource limits, logging, and monitoring
• Build integrations with internal systems, external APIs, and LLM providers
• Review both your own and others' AI-generated code, identifying architectural, functional, and security risks
• Validate AI-assisted implementations through testing and code reviews before deploying to production
• Maintain production services, troubleshoot issues, and respond to incidents
• Share expertise and help establish effective AI-assisted development practices across the team
• Tech stack: Primarily Java, Node.js, and Vue.js, with technologies selected based on each project's needs

Requirements

• 4+ years of professional software development experience with JVM technologies, Node.js, or full-stack development
• Strong backend engineering experience, including APIs, databases, asynchronous processing, and system integrations
• Hands-on experience independently deploying and operating production services, including CI/CD, containers, cloud infrastructure, logging, and monitoring
• Experience troubleshooting and resolving production incidents
• Working knowledge of frontend development, with the ability to build and modify user interfaces independently
• Daily use of Claude Code, Codex, Cursor, or similar AI coding tools, with the ability to explain how you incorporate them into your development workflow
• Ability to review AI-generated code, understand its behavior, and identify architectural, functional, and security risks
• A disciplined approach to validating AI-assisted code through automated testing and code reviews before production release
• Experience integrating LLMs into products and a solid understanding of their capabilities and limitations
• Ability to evaluate solutions for scalability, reliability, and maintainability
• Understanding of core security practices, including secrets management, access control, and personal data protection
• Experience independently designing moderately complex systems and taking ownership of their performance and reliability in production

Benefits

• The opportunity to work on large-scale products and contribute to their development
• A flexible work environment built on autonomy, ownership, and trust, without micromanagement
• The option to work fully remotely or from a modern office
• Medical insurance coverage in countries where the company operates
• An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning, and sports activities
• Partial reimbursement for professional training, courses, and participation in industry conferences
• Access to a corporate digital library
• Company-funded weekly online sessions with a psychologist
• Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval