Remote AI Engineer — LLMs, Automation & Pipelines

TrustNet Technologies; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

TrustNet Technologies is seeking a hands-on AI/ML Engineer to design, build, and scale intelligent systems that drive automation and decision making across the organization. This role focuses on applied AI, large language models, automation, and production‑grade pipelines, with emphasis on real‑world deployment and measurable impact.

You will develop AI driven workflows, train and fine‑tune models, build APIs and data pipelines, and collaborate with cross‑functional teams to deliver scalable

Qualifications

• Strong foundation in AI/ML with production deployment experience.
• Experience with large language models and model evaluation.
• Familiarity with data preprocessing and model serving.
• Ability to translate business needs into AI solutions.

Responsibilities

• Design, develop, and deploy AI‑driven solutions for business operations.
• Train, fine‑tune, and optimize ML models and LLMs.
• Build AI‑enabled workflows and intelligent pipelines.
• Develop APIs and services connecting AI to applications.
• Ensure solutions are scalable, reliable, and production‑ready.
• Collaborate across teams to identify AI opportunities.
• Monitor performance and improve accuracy over time.
• Document architecture and best practices.
• Stay current with trends in AI, LLMs, and intelligent systems.
• Design and manage data/infrastructure powering AI systems.
• Build end-to-end applications delivering AI capabilities to users.
• Design and develop full‑stack apps and dashboards.

Skills

Python

Machine learning

TensorFlow

PyTorch

NLP

API development

Data pipelines

LLMs

Cloud platforms

Production systems

Tools

IBM watsonx

Red Hat Ansible

OpenShift

Job description

TrustNet Technologies is seeking a hands-on AI/ML Engineer to design, build, and scale intelligent systems that drive automation and decision making across the organization. This role focuses on applied AI, large language models, automation, and production‑grade pipelines, with emphasis on real‑world deployment and measurable impact.

You will develop AI driven workflows, train and fine‑tune models, build APIs and data pipelines, and collaborate with cross‑functional teams to deliver scalable