Principal\Staff\Senior Software Engineer

About Woyage.AI:

Woyage AI is reimagining how companies discover and hire top talent through an AI-first platform that powers smarter, faster, and fairer recruitment experiences. We’re building a next-generation SaaS product that combines intelligent automation, rich candidate insights, and human-in-the-loop systems for maximum efficiency and effectiveness.

We are looking for a Principal Backend Engineer who will play a pivotal role in shaping the architecture, performance, and scalability of our backend systems. This is a high-impact position ideal for someone who thrives in early-stage environments and wants to work at the cutting edge of AI applications in recruitment.

Roles & Responsibilities:

• Architect & Lead the design and implementation of backend systems and APIs for our AI-driven SaaS platform.
• Mentor and guide junior and mid-level engineers, setting high standards in code quality, design patterns, testing, and engineering practices.
• Drive technical decisions across the backend stack, ensuring scalability, performance, and reliability of microservices and distributed systems.
• Collaborate cross-functionally with Product, Design, Data Science, and DevOps teams across multiple time zones to deliver end-to-end solutions.
• Own technical roadmap initiatives and deliver large-scale features from concept to production with minimal guidance.
• Stay up to date with emerging technologies in Python, cloud platforms (AWS/GCP), and the AI/ML ecosystem to inform future architecture.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• 8+ years of experience in backend development, including 2+ years in a tech lead or principal role.
• Proven expertise in Python and Python-based backend frameworks (e.g., FastAPI, Flask, Django).
• Strong experience with cloud infrastructure (AWS, GCP) and serverless architectures (e.g., AWS Lambda, API Gateway, GCP Cloud Functions).
• Solid understanding of scalable system design, event-driven architectures, and microservices.
• Experience designing and optimizing RESTful and async APIs for high performance and low latency.
• Proficient with NoSQL databases (MongoDB preferred) and distributed data systems.
• Deep understanding of CI/CD pipelines, containerization (Docker), and infrastructure-as-code tools.
• Comfortable working in Agile/Scrum environments using tools like Git, Slack, Jira, and Confluence.
• Bonus: Experience working with OpenAI GPT-3/4 APIs or Google Cloud’s Vertex AI or similar LLM platforms.

Compensation:

• The position offers significant stock grants for the initial six months.
• Compensation for this period will be paid in arrears once the company reaches $2 million in ARR.
• Ongoing half-time or full-time compensation will begin once the company starts generating revenue or secures seed funding, whichever comes first.