Location: New York

Orca’s vision is to build a financial system that puts people first. We envision a future where the majority of global financial transactions are driven by CLAMMs and other Decentralized Finance (DeFi) products. Our ambition reaches beyond becoming the leading provider of financial primitives in crypto—we aim to reshape the foundation of finance itself. We are building the next NASDAQ. It doesn't matter where you come from, where you went to school, or what industry you're in—if you've done exceptional work, join us to work at the edge of AI engineering.

This role offers the opportunity to collaborate closely with our CTO from the Flatiron office in NYC to revolutionize productivity of our talented contributors. You'll analyze, optimize, and design frameworks to scale LLM adoption across the team, train engineers, and push the boundaries of prompt engineering.

What You’ll Do

• Collaborate on AI-Driven Software Processes: Work closely with the Founder/CTO to design and implement an AI-agent-driven software engineering process.
• Analyze Existing Systems: Evaluate the Orca team’s current software stack to identify necessary context and optimizations for enhancing LLM responses.
• Plan AI Integration: Develop a comprehensive strategy to integrate AI agents into the software development lifecycle, ensuring alignment with team goals and productivity benchmarks.
• Train and Scale Adoption: Lead training sessions for the engineering team, scaling the implementation of LLM/Agent-driven processes across the entire software stack.

What you’ll bring

• Office Enthusiast: You are a software engineer in NYC who wants to come into the Flatiron office 5 days a week and work directly with the founder/CTO.
• Prompt Engineering Expert: You are obsessed with prompt engineering models like Claude 3.5 Sonnet and o1 to push their capabilities.
• AI Visionary: You are convinced that 2025 is the year that AI Agents can become as productive as mid-level software engineers, and you can’t wait for the newest frontier models to be released.
• Framework Critic: You’ve experimented with various Agent frameworks and have developed strong, well-informed opinions about how they can evolve to be more effective.
• Technical LLM Knowledge: You have a solid understanding of how language models function at a technical level, enabling you to navigate and innovate in the AI space confidently.

What we offer

• Salary: 175,000 - 220,000 USDC (Range for US Employees)
• Token allocation: 50,000 - 100,000 ORCA over 4 years (Range for US Employees)
• Flexible work schedule.
• Home office stipend.
• Wellness stipend.
• Option to work remotely or from our office in New York City.
• Paid subscriptions to GitHub Copilot, ChatGPT, or other tools that make you more productive.

Our hiring process

We like to be transparent and efficient. We move fast, and this process will be short and intense. We believe this process gives candidates the best experience in getting decisions quickly instead of long, drawn out interview rounds that last weeks.

Initial Screen (30 min)

This will be for us to get an understanding of your experiences and test your knowledge of Solana and DeFi. It is also an opportunity for you to learn more about the role and company.

CTO Round (60min)

This round will be with Yutaro, our CTO, with whom you would potentially collaborate daily. He will gauge your knowledge and experience in leveraging LLMs to solve problems.

3rd Round (60 min each)

This round will consist of 3 open-ended coding interviews back-to-back all conducted the same day.

Our stack

• Rust, Timescale, Postgres
• Next.js, Typescript, Zustand, Tailwind
• Solana's Geyser plugin, Yellowstone gRPC
• Solana smart contracts using Anchor
• Terraform, AWS ECS, Datadog, Vercel
• GitHub, Linear, Notion, Slack

About: https://orca.so/about

Twitter: https://x.com/orca_so

Discord: https://discord.orca.so

Podcast: https://orcapod.orca.so