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.
ABOUT THE ROLE
As an AI Engineer, you will work across our core AI infrastructure — from multi-agent systems and RAG pipelines to evaluation frameworks and production deployment. You'll ship AI-powered features that clients rely on daily, ensuring they're performant, reliable, and secure. This is a high-ownership role where you'll contribute across the full stack: backend APIs, data pipelines, frontend interfaces, and cloud infrastructure.
You'll report directly to the founders and collaborate closely with a tight-knit engineering team building product with real urgency and craft.
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
