Applied AI Engineer - US

About the Job Pulse is a fast‑growing enterprise sustainability platform. We need an engineer who can independently build and scale full‑stack products while designing and deploying reliable LLM‑powered systems and agent workflows in production. What You Will Do Build & Ship AI‑Powered Products Design, develop, and deploy LLM‑powered applications and agent‑based systems in production Own the full product lifecycle from concept to production and iteration across backend and frontend Build scalable, maintainable systems that solve real customer problems Design & Operate GenAI Systems Develop prompt strategies, context management (RAG, memory), and agent workflows Integrate and optimize across leading LLM APIs (OpenAI, Anthropic, Gemini, open‑source) Continuously improve system quality, reliability, and performance Leverage AI‑First Development Workflows Use AI‑assisted coding tools to accelerate development Validate, test, and safely integrate AI‑generated code into production systems Contribute to evolving best practices for AI‑first engineering Ensure Quality, Reliability & Performance Own testing strategy including unit, integration, and end‑to‑end testing Define and implement evaluation frameworks for AI outputs (quality, consistency, failure modes) Debug production issues and optimize for latency, cost, and scalability Take full ownership of system reliability and production stability Collaborate & Execute in Fast-Moving Environments Translate ambiguous requirements into working solutions Partner with product, design, and customer‑facing teams to deliver impactful features Collaborate effectively with distributed and offshore engineering teams Advance AI & Product Capabilities (Nice to Have) Build advanced agent systems (planning, orchestration, parallel execution) Apply frameworks like LangChain, LangGraph, or similar where appropriate Explore fine‑tuning, evaluation frameworks, and benchmarking techniques Contribute to intuitive, user‑friendly AI‑driven experiences and human‑in‑the‑loop workflows About You Bachelor’s degree in Computer Science, Engineering, or related field preferred (or equivalent hands‑on experience) 1‑2 years of experience building AI‑powered applications and deploying LLM-powered applications or agents in production Experience integrating major LLM APIs (OpenAI, Anthropic, Gemini, open‑source) Working knowledge of prompt design, context management (RAG, memory, tool use), and multi‑step/agentic workflows Ability to take products from concept to production and iteration across backend and frontend systems Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI‑generated code into production (validation, CI/CD) Experience debugging production issues, optimizing performance (latency, cost), and building maintainable systems Ability to define evaluation strategies for AI outputs and experience with AI‑driven testing and reliability practices Why This Role? High ownership and autonomy Opportunity to build products end‑to‑end using AI‑first workflows Work at the cutting edge of AI‑driven software development Fast‑moving, execution‑focused culture Contribute to a solution that helps the planet Compensation Range: CA$60K – CA$70K #J-18808-Ljbffr Pulsora