Remote Full-Stack AI Engineer for Production ML & LLMs

Datumtg; New York (NY); Remote; USD 180,000 - 230,000; Full time

Job summary

Datumtg is looking for a Senior Full Stack AI Engineer to design, build, and operate production AI systems end to end. You will handle the full AI stack—from traditional ML to LLM-powered apps—deployed on Azure with CI/CD and Git-based workflows.

You will implement RAG, embeddings, and guardrails, while mentoring engineers and collaborating with product and security to ensure observability, safety, and cost control in a fully remote, global team.

Qualifications

• 5+ years of software engineering experience.
• 2+ years building and shipping ML/AI systems in production.
• Strong Python and core ML libraries (TensorFlow/PyTorch, scikit-learn, pandas).

Responsibilities

• Design, train, evaluate, and ship ML/DL models across domains (vision, NLP, time-series).
• Build RAG systems with embeddings and vector stores.
• Deploy AI services on Azure with Docker, Kubernetes, and CI/CD.

Skills

Python

ML engineering

Git workflows

Model deployment

Education

Bachelor's or Master's in Computer Science/ML

Tools

TensorFlow

PyTorch

Azure DevOps

Job description

Datumtg is looking for a Senior Full Stack AI Engineer to design, build, and operate production AI systems end to end. You will handle the full AI stack—from traditional ML to LLM-powered apps—deployed on Azure with CI/CD and Git-based workflows.

You will implement RAG, embeddings, and guardrails, while mentoring engineers and collaborating with product and security to ensure observability, safety, and cost control in a fully remote, global team.