Applied AI Engineer

Job not on LinkedIn

🕒 April 21

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

pulsESG

WebsiteLinkedInAll Job Openings

11 - 50 employees

💰 Venture Round on 2022-11

Founded in 2021, pulsESG is a public benefit corporation dedicated to empowering purpose-driven enterprises to manage and improve their ESG footprint with an integrated and comprehensive SaaS platform built for compliance tracking and insight.

📋 Description

• 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

• 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

• 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