AI Engineer

AutomateNexus LLC; Washington; Hybrid; USD 100,000 - 130,000; Full time

Job summary

AutomateNexus LLC in Washington is seeking an AI Engineer to design and build intelligent systems that enhance business automation. The candidate will develop custom machine learning models and workflows powered by LLMs and computer vision.

The role requires over 3 years of experience in AI/ML engineering, strong skills in Python, and hands-on experience with ML frameworks like PyTorch and TensorFlow. Excellent problem-solving abilities and communication skills are essential.

Qualifications

• 3+ years experience in AI ML engineering or applied data science.
• Strong Python skills and experience with ML frameworks.
• Hands on experience with LLMs and APIs.

Responsibilities

• Build systems that extract data and automate decision making.
• Evaluate emerging AI tools and prototype new capabilities.

Skills

Python

Machine Learning

Data Science

Problem Solving

Communication Skills

Tools

PyTorch

TensorFlow

scikit-learn

AWS

GCP

Azure

Job description

AutomateNexus is pushing the boundaries of what is possible when AI meets business automation. We are looking for an AI engineer to design and build the intelligent systems that power our most sophisticated client solutions - custom machine learning models, LLM powered workflows, and computer vision applications.

Responsibilities

• Build systems that extract data from documents, generate content, analyze sentiment, and automate decision making.
• Evaluate emerging AI tools and models, prototype new capabilities, and deploy production ready solutions that deliver real ROI.

Qualifications

• 3+ years experience in AI ML engineering or applied data science.
• Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Hands on experience with LLMs and APIs such as OpenAI, Anthropic, and Hugging Face.
• Experience deploying ML models to production environments.
• Familiarity with cloud platforms such as AWS, GCP, and Azure and MLOps practices.
• Understanding of NLP, computer vision, or other AI domains.
• Strong problem solving skills and ability to work independently.
• Excellent communication skills - able to explain AI to non technical audiences.