Applied AI Engineer

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

  • Utilize 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 the 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, requiring willingness to work overlapping with US working hours.

• 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

• 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 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 an industry leader and innovative company.
• Contribute to a solution that helps the planet and us all.

Why work at Pulsora

We believe that progress happens by bringing together people from all walks of life who have the drive and the influence to improve our world now and for the next generations!

• Ideally possess industry and market knowledge of ESG and sustainability.
• Competitive salary, equity, and benefits.
• Work on challenging and important problems.
• Contribute to a solution that helps the planet and us all.
• Join an extraordinary team at the beginning of an extraordinary journey.
• Hybrid-friendly work environment (for those in New York, San Francisco Bay Area, and Munich, with in-office attendance 2-3 times per week).