AI Engineer developing secure, enterprise - grade AI systems for Valsoft's Edelweiss Software Group portfolio. Collaborating with operators and product teams to drive rapid product innovation.
About the role
- AI Developer managing front and backend functionalities for AI products at Fluent Software Group. Focusing on production systems and features in a collaborative environment.
Responsibilities
- Design and deliver production features across both frontend and backend
- Develop UI components for the operator dashboard (Next.js, React, TypeScript)
- Design and implement APIs and backend logic (Bun/Elysia, PostgreSQL)
- Integrate external enterprise APIs and internal AI services
- Write and maintain tests for critical flows
- Own the evolution of key product components, including the approval queue
- Develop and improve SLA tracking, escalation logic, and operator workflows
- Create analytics views for call trends, approvals, and performance metrics
- Support production operations during the enterprise pilot
- Monitor, diagnose, and resolve issues in a real-time AI system
- Respond to feedback from operators and stakeholders
- Improve system reliability, observability, and performance
- Work closely with senior engineers on architecture and technical decisions
- Participate in code reviews (give and receive feedback)
- Document systems and features to ensure long-term maintainability
Requirements
- 2+ years of professional software development experience, or equivalent experience on high-impact projects
- Strong proficiency in JavaScript and TypeScript
- Hands-on experience with React and/or Next.js
- Good understanding of REST APIs and relational databases
- Experience using AI coding assistants (Cursor, Copilot, Claude, ChatGPT) in your daily workflow
- Comfortable owning end-to-end features from requirements through deployment
- Experience with PostgreSQL or other relational databases (asset)
- Familiarity with Tailwind CSS or component libraries (asset)
- Exposure to voice AI, conversational AI, or real-time systems (asset)
- Experience with enterprise integrations and production environments (asset)
- Open-source contributions or personal projects to share (asset)
Benefits
- High autonomy, big impact: real responsibility from day one
- Accelerated professional growth: exposure to enterprise systems, product scaling, and AI-powered platforms
- Learning-focused culture: collaborate with senior engineers using modern, AI-native practices
- Entrepreneurial mindset: building real products, not legacy systems
- Competitive package: compensation, health/dental/vision insurance, paid time off, and more
- Team-oriented mentality: collaboration, knowledge-sharing, and international connections
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