Applied AI Engineer - US

Pulsora, Inc. • Chicago, IL

8d • $50,000 - $60,000 • Hybrid

About The Position

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. This role involves owning the full product lifecycle, designing and operating Generative AI systems, leveraging AI-first development workflows, ensuring quality, reliability, and performance, and collaborating effectively in fast-moving environments.

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
• Ideally have industry and market knowledge of ESG and sustainability

Responsibilities

• 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
• 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

Benefits

• salary
• equity
• benefits
• 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
• You’ll get to work on problems that are hard and important
• You’ll be joining an extraordinary team at the beginning of an extraordinary journey

What This Job Offers

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