Backend Engineer: ML/LLM & AI-Powered Services

XVILABS, INC.; Cambridge (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

XVI Labs in Cambridge, MA is seeking a backend/ML engineer to build scalable backend services, APIs, and data pipelines that integrate LLMs and other ML models.

You will deploy and monitor model-powered services, improving inference latency, reliability, and cost while collaborating with AI engineers. Strong Python, API design, and ML experience with PyTorch or Hugging Face are required, along with cloud, containers, and CI/CD know-how.

Qualifications

• Strong Python and software engineering fundamentals, with experience building tested APIs, data pipelines, or backend services.
• Practical machine learning and deep learning experience using PyTorch, Hugging Face, or similar tools, including integrating neural network models into software applications.
• Experience with databases, cloud infrastructure, containers, and CI/CD, plus the ability to debug production systems.

Responsibilities

• Build backend services, APIs, and product features that integrate LLMs and other machine learning models.
• Develop data pipelines and tooling for dataset preparation, training workflows, and automated model evaluation.
• Deploy and monitor model-powered services, improving inference latency, reliability, and cost alongside AI engineers.

Skills

Python

APIs

Data pipelines

Tools

PyTorch

Hugging Face

Cloud infrastructure

Docker/Containers

CI/CD

Job description

XVI Labs in Cambridge, MA is seeking a backend/ML engineer to build scalable backend services, APIs, and data pipelines that integrate LLMs and other ML models.

You will deploy and monitor model-powered services, improving inference latency, reliability, and cost while collaborating with AI engineers. Strong Python, API design, and ML experience with PyTorch or Hugging Face are required, along with cloud, containers, and CI/CD know-how.