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VectorShift

VectorShift

www.vectorshift.ai

2 Jobs

24 Employees

About the Company

VectorShift is an AI automations platform. Teams leverage AI through VectorShift's no-code or SDK interfaces to search through knowledge bases, generate documents, and deploy chatbots and assistants.

Listed Jobs

Company background Company brand
Company Name
VectorShift
Job Title
Artificial Intelligence Engineer
Job Description
Job title: Artificial Intelligence Engineer Role Summary: Engineer end‑to‑end AI/ML solutions for enterprise workflow automation, covering backend services, data pipelines, frontend interfaces, and cloud infrastructure. Expectations: Deliver high‑performance, secure AI features; manage full‑stack responsibilities; collaborate with founders and product/design; thrive in fast‑paced, ambiguous environments. Key Responsibilities: • Design, build, and deploy production AI features (RAG systems, multi‑agent orchestration, evaluation frameworks). • Own backend APIs (Python / FastAPI / Django). • Create data pipelines for model training, evaluation, and continuous improvement. • Ensure scalability, performance, and security across the platform. • Contribute to engineering best practices, code quality, and technical decisions. Required Skills: • 2+ years professional software engineering. • Proven experience deploying AI/ML applications in production. • Strong relational database knowledge and data modeling. • Cloud infrastructure, Docker, Kubernetes, CI/CD expertise. • Familiar with RAG pipelines, LLM orchestration, or AI agent architectures. • Proficient with Git and collaborative workflows. • LLM evaluation techniques and reliability tooling. • Excellent problem‑solving and shipping mindset. Required Education & Certifications: Preferred: Bachelor’s degree in Computer Science, Engineering, or related field.
New york city, United states
On site
Junior
11-03-2026
Company background Company brand
Company Name
VectorShift
Job Title
AI Engineer
Job Description
Job title: AI Engineer Role Summary: Build and deploy AI‑powered features across backend APIs, data pipelines, frontend interfaces, and cloud infrastructure. Own end‑to‑end production systems such as RAG pipelines, multi‑agent orchestration, and evaluation frameworks while ensuring scalability, performance, and security. Expectations: Deliver high‑impact, reliable, and secure AI services on a tight schedule. Take full ownership of backend services, data pipelines, and deployment workflows. Collaborate with founders, product, and design to ship features quickly and maintain engineering best practices. Key Responsibilities: - Design, develop, and release AI‑powered features (RAG, multi‑agent orchestration, evaluation frameworks) in production. - Own backend APIs (Python, FastAPI, Django) from concept through deployment. - Construct data pipelines for model training, evaluation, and continuous improvement. - Partner with founders, product, and design to prioritize and ship features. - Ensure scalability, performance, and security of the platform. - Contribute to engineering standards, code quality, and technical decision‑making. Required Skills: - 2+ years professional software engineering experience. - Hands‑on experience building and deploying AI/ML applications in production. - Proficiency with Python, FastAPI/Django, relational databases, and data modeling. - Cloud infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), and CI/CD pipelines. - Experience with RAG pipelines, LLM/LLM‑orchestration, or AI agent architectures. - Familiarity with Git and collaborative development workflows. - Knowledge of LLM evaluation techniques and reliability tools. - Strong problem‑solving skills and shipping mindset. Required Education & Certifications: - BS/MS in Computer Science, Engineering, or a related technical field preferred. (No mandatory certifications listed.)
New york, United states
On site
Junior
11-03-2026