Applied AI Engineer at Pulsora Inc

Pulsora, established in 2021, is a well-funded Silicon Valley startup serving as the premier Enterprise Sustainability Platform. We are dedicated to helping purpose-driven organizations track, manage, and improve their environmental, social, and governance goals through a comprehensive and flexible technology suite. With strong strategic partnerships and a rapidly growing customer base across the globe, we are looking for an Applied AI Engineer to join our team on a full-time, remote basis within the United States.

Key outcomes

• Design, develop, and deploy production-ready LLM applications and agent-based workflows.
• Manage the entire product lifecycle, from initial concept through to iteration, across both frontend and backend systems.
• Integrate and optimize leading LLM APIs, such as OpenAI, Anthropic, and Gemini, while developing sophisticated prompt strategies and RAG context management.
• Utilize AI-assisted development tools like Cursor and Copilot to accelerate coding, while ensuring all AI-generated output is validated and tested for production safety.
• Establish robust evaluation frameworks to monitor the quality, consistency, and reliability of AI outputs.
• Collaborate with cross-functional teams to translate ambiguous requirements into scalable, high-performance solutions.

Requirements

• Approximately 1 to 2 years of professional experience in building and deploying AI-powered applications or agent systems into production environments.
• Proficiency in full-stack engineering, with the ability to own and iterate on features across the entire stack.
• Practical experience with major LLM APIs and a solid understanding of memory, tool use, and multi-step agentic workflows.
• Demonstrated ability to debug production issues and optimize systems for latency, cost, and scalability.
• Strong communication skills, with a proven ability to work effectively alongside distributed and offshore engineering teams.
• A self-motivated mindset with a focus on ownership, accountability, and the ability to thrive in fast-moving, ambiguous environments.
• Fluency in English.

Preferred qualifications

• A Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Experience with advanced agent frameworks like LangChain or LangGraph.
• Familiarity with fine-tuning techniques, benchmarking, and human-in-the-loop workflow design.
• Industry knowledge regarding ESG and sustainability standards.

Compensation

We offer a competitive compensation package that includes equity compensation. Our team members also benefit from a remote-friendly work environment, with hybrid options available for those located near our primary hubs.

How to apply

If you are passionate about building technology that makes a positive impact on the planet, we invite you to apply to join our mission. Please submit your application to be considered for this role and help us shape the future of sustainability software.