Generative AI Engineer: ML Systems & Deployment

particle41llc; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

particle41llc is looking for a hands-on ML Engineer to develop and deploy machine learning and generative AI solutions that meet business needs, from data prep to deployment and ongoing monitoring.

You will build and evaluate models, create retrieval-augmented and conversational AI systems, and collaborate with data engineering to integrate models into APIs and microservices in production environments.

Qualifications

• Bachelor's or master's degree in CS, engineering, data science, or related field.
• 3+ years hands-on experience developing and deploying AI/ML systems.
• Strong Python skills with frameworks such as PyTorch, TensorFlow, scikit-learn, or modern language model tooling.
• Understanding of ML fundamentals, statistics, algorithms, and data structures.
• Experience deploying production models via APIs or microservices and monitoring them.

Responsibilities

• Build, train, evaluate, deploy, and monitor machine learning models across the development lifecycle.
• Create generative AI systems, including retrieval-augmented applications, agent workflows, and conversational agents.
• Partner with data engineering on pipelines, feature stores, and orchestration; integrate models into APIs and cloud deployments.
• Improve solutions for reliability, scalability, performance, and cost, and monitor for drift, bias, fairness, and other production issues.
• Document experiments, data provenance, and design decisions, and communicate with clients to translate business needs into AI solutions.

Skills

Python

ML deployment

PyTorch

TensorFlow

APIs/microservices

Education

Bachelor's/Master's in CS/Engineering/Data Science

Tools

PyTorch

TensorFlow

scikit-learn

APIs/microservices

Job description

particle41llc is looking for a hands-on ML Engineer to develop and deploy machine learning and generative AI solutions that meet business needs, from data prep to deployment and ongoing monitoring.

You will build and evaluate models, create retrieval-augmented and conversational AI systems, and collaborate with data engineering to integrate models into APIs and microservices in production environments.