Applied AI Engineer

Pulsora, Inc. • Chicago, IL

2d • Hybrid

About The Position

Founded in 2021, Pulsora, the “Enterprise Sustainability Platform”, is a well-funded Silicon Valley software startup dedicated to empowering purpose-driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. Pulsora is well funded, has amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and is growing fast! 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.

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
• 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

Nice To Haves

• 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
• Industry and market knowledge of ESG and sustainability

Responsibilities

• Design, develop, and deploy LLM-powered applications and agent-based systems in production
• Own the full product lifecycle from concept to production to iteration across backend and frontend
• Build scalable, maintainable systems that solve real customer problems
• 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
• Contribute to evolving best practices for AI-first engineering
• 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
• 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

Benefits

• The company will pay with salary, equity, and benefits
• Opportunity to work on problems that are hard and important
• Opportunity to work on a solution that helps the planet and helps us all
• Opportunity to join 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level