Applied AI Engineer

Pulsora

$90K — $130K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field preferred (or equivalent hands-on experience)
  • 1-2 years experience building AI-powered applications and deploying LLM-powered applications in production
  • Familiar with integrating major LLM APIs (e.g., OpenAI, Anthropic, Gemini)
  • Knowledgeable in prompt design and context management (RAG, memory, tool use)
  • Proficiency in AI-assisted coding tools and integrating AI-generated code into production systems
  • Experience debugging production issues and optimizing performance (latency, cost)
  • Ability to define evaluation strategies for AI outputs and apply AI-driven testing practices

Responsibilities

  • Design, develop, and deploy LLM-powered applications and agent-based systems
  • Own the full product lifecycle from concept to production to iteration
  • Build scalable and maintainable systems that address real customer needs
  • Develop strategies for prompt design and agent workflows to improve system performance
  • Integrate and optimize across leading LLM APIs
  • Use AI-assisted tools to expedite the development process while ensuring code quality
  • Collaborate with product, design, and customer teams to deliver impactful features

Benefits

  • High ownership and autonomy in your work
  • Opportunity to build products using AI-first workflows
  • Engagement with cutting-edge AI-driven software development
  • Exposure to multiple leading-edge technologies
  • Part of an execution-focused, fast-moving culture
  • Join an industry-leading and innovative company
  • Work on solutions that contribute to sustainability and social good
  • Hybrid-friendly work environment, requiring office presence 2-3 times per week in select locations
Full Job Description
About the job

We are seeking a highly skilled and experienced 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 12 production 12 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 (e.g., Cursor, Copilot, Claude Code) 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 Contributions)
    • 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
  • Bachelors 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
A little more about how you like to work
  • Strong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems.
  • Self-motivated and proactive-you create momentum without needing direction
  • A strong problem solver who can navigate ambiguity
  • A builder who cares about shipping real, working products
  • Comfortable with ownership, accountability, and high expectations
  • Thrives outside of traditional work structures
  • You own the quality of the product you build
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
  • Work with multiple leading-edge technologies
  • Fast-moving, execution-focused culture
  • Work for the industry leader and innovative company
  • You get to work on a solution that helps the planet and helps us all

  • Ideally have industry and market knowledge of ESG and sustainability
  • The company will pay with salary, equity, and benefits
  • Youll get to work on problems that are hard and important
  • You get to work on a solution that helps the planet and helps us all
  • Youll be joining an extraordinary team at the beginning of an extraordinary journey
  • Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)

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