We are looking for exceptional mission-driven individuals who can design and build next-generation products at the intersection of AI and Climate Technology.

As the Founding AI Engineer , you will take ownership of the technical stack with a focus on delivering AI-driven solutions that address complex environmental challenges. This is a hands-on role with the opportunity to grow into a leadership position as the company scales.

Within the first 12–18 months, you will:

• Develop and Launch an AI-Powered MVP : Deliver a functional product leveraging advanced machine learning techniques, iterating based on user feedback to achieve product-market fit.
• Drive AI Innovation: Spearhead development in fine-tuning , retrieval-augmented generation (RAG) , prompt engineering , reinforcement learning and integrating large language models (LLMs) into customer-facing applications.
• Implement Scalable Technical Solutions : Develop and deploy foundational systems in search engines, document management/OCR, data pipelines, and AI ensuring they are robust and capable of supporting 10x future growth.
• Establish AI-First Product Development Processes: Streamline development cycles to reduce iteration time by 50%, leveraging best practices in AI and agile methodologies.
• Define the Technical Architecture : Design and document a scalable, secure, and modular technical architecture supporting long-term product and business goals.
• Recruit and Inspire Engineering Talent : Hire and onboard additional engineers while fostering a high-performing and collaborative engineering culture.
• Set Standards for Engineering Excellence : Implement and enforce coding standards, architecture principles, and agile methodologies to ensure maintainable and high-quality codebases.
• Align Product Vision and Technology Strategy : Collaborate with the founding team to finalize a 12-month technology roadmap within the first 45 days, ensuring alignment with customer needs and business objectives.
  

You are a highly skilled and motivated engineer with a passion for building AI-driven products that address critical global challenges. You thrive in startup environments, taking projects from zero-to-one , and have a proven ability to deliver end-to-end technical solutions while inspiring and leading others.

• AI Expertise: Demonstrated experience in applying large language models (LLMs) , information retrieval , NLP , and machine learning techniques to production systems.
• Model Development & Deployment: Proficient in fine-tuning , retrieval-augmented generation (RAG) , and deploying models into production environments using scalable data pipelines and ML Ops best practices.
• Backend Development : Strong expertise in building and integrating backend systems, with a solid understanding of databases, API design and implementation, server-side architectures, cloud environments, and performance optimization.
• Frontend Development: Strong expertise in building, and integrating both front-end and back-end systems. Proficient in modern client-side frameworks such as React, Angular, or Vue.js, with a solid understanding of state management libraries (e.g., Redux, MobX) and responsive design principles. Skilled in backend development, including API design, server-side architectures, database management, and cloud environments. Experience with integrating and optimizing end-to-end systems to deliver seamless user experiences.
• System Design & Scalability: Proven ability to design modular, secure, and scalable architectures for robust and future-proof AI-driven applications.
• Search and Document Systems: Expertise in building and optimizing search engines , integrating OCR tools, and creating workflows for document management.
• Startup Execution / Builder: Experience leading technical development in zero-to-one environments, including building MVPs, iterating quickly on user feedback, and accelerating development cycles. We are looking for a builder!
  

These principles shape how we operate, innovate, and collaborate to deliver breakthrough innovation for a sustainable future. 

Authenticity & Integrity: Act with honesty, transparency, and the highest ethical standards, fostering trust across our team and partners.

Relentless Curiosity & Growth Mindset: Embrace a growth mindset by challenging norms, asking tough questions, and rapidly learning to unlock impactful innovation.

Empathy & Customer-Centricity: Build a supportive and diverse culture where every voice is valued, creating a foundation for collaboration and belonging.

Mission-Driven Innovation: Solve complex challenges with bold ideas, leveraging creativity and cutting-edge technology to drive meaningful progress.

Impact with Purpose: Maximize impact by optimizing resources, operating with lean efficiency, and prioritizing sustainable practices at every step.

• Competitive Compensation : [Include compensation range if legally required]
• Equity Opportunities : Share in the company’s growth and success.
• Comprehensive Benefits :
• Health, dental, and vision insurance.
• Mental health and wellness support.
• Generous vacation and paid time off policies.
• Professional Growth : Opportunities for continuous learning and career advancement.
• Collaborative Culture : Work in an environment that values authenticity, curiosity, and innovation.
• Impactful Work : Engage with challenging projects that contribute to advancing intelligence and energy systems.
• State-of-the-Art Equipment : All the tools and technology you need to succeed.
  

Our Hiring Process

We aim to provide an intentional, open, and transparent hiring experience. Below is an overview of each stage:

1. Initial Screening
2. Purpose : Assess your qualifications, skills, experience, and potential fit.
3. Format : A conversation with our hiring manager or recruiter.
4. Technical Assessment :
5. Purpose : Evaluate your problem-solving skills and technical knowledge through a practical exercise related to the role.
6. Format : 
7. Live coding session and system design interviews
8. Deep technical interviews to gauge technical expertise and engineering skill sets
9. Onsite / Virtual Interviews
10. Values-Based Interview
11. Purpose : Assess how your personal values align with our company culture and mission.
12. Final Discussion :
13. Purpose : Discuss any remaining questions and align on mutual expectations.
14. Format : A conversation with the founding team.
15. References and additional Closing Conversations with Investors, Advisors, etc.