AI Engineer

VectorShift; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

VectorShift is building AI-powered enterprise workflow automation. We convert complex, manual processes into fully automated AI systems that scale across global teams.

The AI Engineer will work across AI infrastructure, from multi-agent systems to evaluation frameworks and deployment, shipping features used daily. Reporting to the founders, you will own backend services, data pipelines, and cloud infrastructure, collaborating with a tight-knit team to deliver high-impact, scalable solutions with

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.

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.

Skills

2+ years software engineering

AI/ML production experience

Relational databases

Cloud infrastructure

Docker/Kubernetes

CI/CD pipelines

RAG pipelines / LLM orchestration

Git workflows

LLM evaluation techniques

Problem-solving / shipping bias

Tools

Python

FastAPI

Django

SQL

Git

Job description

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
• 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.