Senior Applied AI/ML Engineer: Build Real-World AI Apps

atlas-tech; Rhode Island; On-site; USD 120,000 - 170,000; Full time

Job summary

Atlas Tech seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve high‑impact mission, operational, and business problems. You will shape architectures, select models, run experiments, and translate complex concepts into reliable capabilities for end users.

The role blends research, prototyping, and applied engineering, with hands-on development of AI-enabled applications and production deployments in collaboration with product,

Qualifications

• Bachelor’s or Master’s degree in CS/ML/Data Science or related field.
• 3+ years of applied AI/ML engineering, including production deployments.
• Experience with LLMs, fine-tuning, RAG, prompts, or custom model training.
• Experience with vector databases, embeddings, and semantic search.
• LoRA adapters for fine-tuning foundation models in production pipelines.

Responsibilities

• Design, build, and deploy scalable AI/ML tools for generative AI use cases.
• Develop end-to-end ML pipelines including data ingestion, feature engineering, training, evaluation, and monitoring.
• Implement production-grade inference systems and integrate models into apps, APIs, and microservices.
• Lead experimentation, define hypotheses, run evaluations, and improve model performance.
• Mentor junior engineers and contribute to internal standards and reusable components.
• Ensure responsible AI practices, bias evaluation, data governance, and explainability.

Skills

Python

ML libraries

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

LLMs

RAG

API design

CI/CD for ML

Containerization

Education

Bachelor’s or Master’s degree in Computer Science, ML, Data Science, Engineering, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

MLflow

SageMaker

Vertex AI

Databricks

Job description

Atlas Tech seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve high‑impact mission, operational, and business problems. You will shape architectures, select models, run experiments, and translate complex concepts into reliable capabilities for end users.

The role blends research, prototyping, and applied engineering, with hands-on development of AI-enabled applications and production deployments in collaboration with product,