AI Engineer developing features end-to-end for cannabis retail platform. Collaborating in a remote-first team to optimize and innovate solutions using AI tools.
Responsibilities
Own features end-to-end — from task breakdown to production deploy
Design and build server-side logic (REST and RPC APIs, services, integrations)
Implement user interfaces — clean and fast, without over-engineering
Set up CI/CD, containerisation, and feature-level infrastructure (DevOps basics)
Participate in code reviews, technical discussions, and task decomposition
Requirements
3–6 years of commercial experience in backend or fullstack development
Proficiency in Node.js (Express / NestJS) or .NET
Experience designing REST APIs and understanding of RPC approaches
Solid work with relational databases (PostgreSQL / MySQL / MSSQL)
Understanding of core patterns: queues, caching, async
Confident React — enough to build a working UI independently
TypeScript at a level sufficient to work with typed APIs
Docker and Docker Compose — confident everyday use
Basic CI/CD with GitLab CI
Experience deploying to cloud platforms (AWS, GCP or similar)
Active use of AI agents in development: Cursor, Claude, Codex or equivalents
Familiarity with agentic workflows: plan mode, REPL-style iteration, and similar approaches
Prompt engineering: ability to frame tasks clearly and load the context with relevant artefacts (code, schemas, requirements)
Output verification and review — understands where models fail and why
Degradation control: using tests and other mechanisms to maintain quality under agentic changes
Strong test coverage: unit, integration, e2e — writes tests as a real quality gate, not a formality
Cross-team development experience: coordinating changes with adjacent teams, working with shared services or platform
Experience in startups or small teams with broad ownership
Proactivity – We love team members who take initiative and provide feedback
Critical thinking – We value problem-solvers who think beyond just writing code
Adaptability – Our industry is evolving fast, and we need people who thrive in change.
Benefits
100% remote – We’re a remote-first company, no offices needed!
Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
Build, deploy, and scale production - grade AI systems with strong Python, LLM/AI agents, data pipelines, and cloud (Azure/GCP). Must have 10+ years experience.
Staff Software Engineer developing AI platform - level systems for legal services company. Designing abstractions and evaluating AI advancements to enhance product engineering teams' collaboration.
Senior AI Engineer defining architecture for complex agent workflows in the insurance sector. Collaborate with SMEs, design prototypes, and set evaluation standards for AI tools.
Senior AI Engineer at Robots and Pencils developing complex platforms using Python and Node.js. Collaborating on cross - functional teams to enhance production systems and deliver high - quality features.
Senior Developer responsible for designing and building next - generation AI - native systems for Everest 3.0. Contributing to agentic capabilities and mentoring engineers in production environments.
GTM AI Engineer responsible for designing and implementing AI - enabled workflows to enhance Vena’s go - to - market efficiency. Collaborating on systems and data analysis within a remote Canadian team.
AI Engineer developing and deploying production - ready LLM systems at Fulfillment IQ. Focused on ownership and impact in complex supply chain solutions.
Senior AI Engineer designing and implementing AI - powered features at ShyftLabs. Collaborating with cross - functional teams to integrate intelligent capabilities into data - driven platforms.
Senior AI Engineer designing and building agent and RAG systems for NetBrain's network automation platform. Combining engineering with system - level thinking to enhance reliability and scalability.