Full Stack Engineer

We are looking for a Senior Full-Stack Developer to work on an enterprise AI platform MVP for a global consulting client. You will help turn an existing prototype into a robust, secure and supportable product, working with a client-led product team and following structured engineering processes. 

Responsibilities 

• Develop and harden the web application: frontend (HTML5, CSS), backend (TypeScript, Python) and APIs
• Refactor and stabilize prototype code (including AI-assisted code) to production quality
• Containerize and deploy services on AWS (Docker, ECR, ECS Fargate)
• Work with PostgreSQL and S3, and integrate with LLM services (AWS Bedrock)
• Implement secure engineering practices aligned with ISO 27001 and SOC 2 (access control, logging, secrets management)
• Write automated tests, documentation, and take part in code reviews
• Work with client product owner and the data/AI engineer, following the client’s functional specifications

Requirements 

• 5+ years of commercial full-stack development experience
• Strong TypeScript and Python
• Solid frontend fundamentals (HTML5, CSS, modern JS)
• Hands-on AWS: ECS Fargate, ECR, S3, IAM; Docker
• PostgreSQL and REST API design
• CI/CD, observability and basic IaC
• Experience in security-conscious or regulated environments (ISO 27001 / SOC 2 requirements)
• Experience following formal SDLC and governance processes
• Fluent English; availability to overlap with Central Europe / Middle East working hours

Nice to have 

• Experience with LLM integrations (AWS Bedrock, RAG)
• Experience supporting production systems (break-fix, incident handling)
• Experience in enterprise or consulting-client projects

• Familiarity with BI/dashboards (Power BI)

   

We Offer 

• Innovation Culture: Work in an AI-first team that actively experiments with AI and modern development approaches 
• Meaningful Challenge: Take an enterprise AI platform from prototype to a secure, production-ready product for a global consulting client 
• Flexible Work: Remote work or a modern office in Kyiv 
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually 
• Professional Growth: Compensation for courses, certifications (including AWS), and learning resources 
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Claude Code, GitHub Copilot, etc.) 
• Supportive Environment: Collaboration, trust, and focus on outcomes rather than micromanagement 

Recruitment Process 

1. HR Interview 
2. Tech & Final Interviews 
3. Job Offer