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
Freelance Mechanical CFD Engineer training AI agents on fluid simulations. Building verified solutions and Python checks for a global technology platform.
Senior product leader shaping developer experience, AI security, and secure agent workflows at 1Password. Leading technical product strategy, senior PMs, and ecosystem adoption.
Senior AI Architect designing and scaling production agentic AI solutions for AltaML, an applied artificial intelligence company. Moving client use cases from concept to measurable value.
Product Engineer owning complex production features for Social Discovery Group’s global social discovery platforms. Delegating development to AI agents while ensuring reliable financial transaction code.
Freelance Mechanical CAD and Simulation Engineer training AI agents in real CAD environments. Designing geometry, building reference solutions, and evaluating engineering outputs for a global platform.
Développeur.se senior bâtissant des applications IA générative chez Mila, centre montréalais de recherche en intelligence artificielle. Conception backend, intégration LLM/RAG et encadrement technique.
Senior Software Engineer building AI/ML predictive analytics for Aquatic Informatics’ water data software. Developing cloud - native applications, intelligent agents, and digital twins.
AI Developer building agentic systems, RAG pipelines, and production AI solutions for Mirego clients. Bridging backend software development with modern AI models and frameworks.
Senior AI Software Engineer building agentic AI harnesses for Kinaxis’s Databricks - based enterprise data fabric. Enabling secure, governed workflows across GCP and Azure.
Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.