Senior Applied AI/ML Engineer — Build & Deploy AI Solutions

Atlas Technologies, Inc.; Kentucky; On-site; USD 120,000 - 180,000; Full time

Job summary

Atlas Technologies, Inc. seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve mission, operational, and business problems. You will shape architectures, select models, run experiments, and deliver working capabilities with end users in mind.

The ideal candidate blends research, prototyping, and practical engineering, leading initiatives from concept to production while partnering with product and domain teams to create measurable value.

Qualifications

• 3+ years applying AI/ML in production with deployed models.

Responsibilities

• Design, build, and deploy scalable AI/ML tools for generative AI use cases.
• Develop end-to-end ML pipelines including LLM integration, data ingestion, feature engineering, model training, evaluation, and monitoring.
• Implement production-grade inference systems and integrate ML models into applications, APIs, and microservices.
• Lead experimentation, define hypotheses, run evaluations, assess model performance, and identify improvement strategies.
• Work closely with engineering teams to build robust, secure, and maintainable AI-enabled architectures.
• Provide periodic instruction and prompt fine-tuning to resolve hallucinations, bias, or terminology changes.
• Mentor junior engineers and contribute to internal standards, coding practices, and reusable components.
• Ensure responsible AI practices, bias evaluation, data governance, model explainability, and ethical use of automated systems.

Skills

LLMs

Fine-tuning

RAG

Prompt engineering

Python

ML libraries

Distributed systems

Education

Bachelor's degree in CS/ML

Master's degree preferred

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

Docker

Kubernetes

Job description

Atlas Technologies, Inc. seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve mission, operational, and business problems. You will shape architectures, select models, run experiments, and deliver working capabilities with end users in mind.

The ideal candidate blends research, prototyping, and practical engineering, leading initiatives from concept to production while partnering with product and domain teams to create measurable value.