AI Engineer

About the role

VectorShift (YC S23) is building the AI enterprise workflow automation. We convert complex, manual processes into fully automated AI systems that scale across global teams.

Key responsibilities

• Design, build, and deploy AI-powered features in production, including RAG systems, multi-agent orchestration, and evaluation frameworks
• Own backend services and APIs end-to-end (Python / FastAPI / Django)
• Build data pipelines for model training, evaluation, and continuous improvement
• Collaborate with founders, product, and design to ship high-impact features
• Ensure scalability, performance, and security across the platform
• Contribute to engineering best practices, code quality, and technical decision-making

Required qualifications

• 2+ years of professional software engineering experience
• Hands-on experience building and deploying AI/ML applications in production environments
• Solid understanding of relational databases and data modeling
• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines
• Familiarity with RAG pipelines, LLM orchestration, or AI agent architectures
• Experience with Git and collaborative development workflows
• Familiarity with LLM evaluation techniques and tools for measuring reliability
• Strong problem-solving instincts and a bias toward shipping

Nice to have

• Experience working in or building for large enterprises
• Prior startup experience or comfort operating in high-ambiguity environments

What we offer

• Direct founder access — report directly to the founding team and shape the product from the inside
• Competitive compensation — salary + meaningful equity in a high-growth company
• High-impact work — build AI infrastructure used daily by top enterprises
• Speed and ownership — small team, fast cycles, real responsibility from day one

What to expect

This role is not for everyone. The work is hard, the pace is fast, and priorities will shift as we learn from the market and our clients. You need to be comfortable with ambiguity and energized by building something that hasn't been built before.

We're assembling a small team of exceptionally talented, tenacious people who care deeply about the craft of building great software. If that's you — and you're at the point in your career where you want to make a defining contribution — we'd love to hear from you.