Applied AI Engineer

pulsESG

. Build & Ship AI-Powered Products .

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 CA$60,000 - CA$70,000 per yearWebsite

About the role

Key responsibilities & impact

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 → production → 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
Use AI-assisted coding tools (e.g., Cursor, Copilot, Claude Code) to accelerate development
Validate, test, and safely integrate AI-generated code into production systems
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
Collaborate effectively with distributed and offshore engineering teams
Build advanced agent systems (planning, orchestration, parallel execution)
Explore fine-tuning, evaluation frameworks, and benchmarking techniques

Requirements

What you’ll need

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 (AI agents or AI-assisted coding) and building and deploying LLM-powered applications or agents in production
Experience integrating major LLM APIs (e.g., 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, including working across the full engineering lifecycle
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 (quality, consistency, failure modes) and experience with AI-driven testing and reliability practices

Benefits

Comp & perks

The company will pay with salary, equity, and benefits
Work for the industry leader and innovative company
You get to work on a solution that helps the planet and helps us all

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered applicationsLLM-powered applicationsprompt designcontext managementagent workflowsunit testingintegration testingend-to-end testingdebuggingperformance optimization

Soft Skills

collaborationproblem-solvingcommunicationiterationownership

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering