Senior AI/ML Engineer: Architect & Deploy Impactful GenAI

atlas-tech; North Charleston (SC); On-site; USD 130,000 - 185,000; Full time

Job summary

Atlas Tech in the United States seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that tackle mission-critical problems and deliver measurable value.

The role blends research, prototyping, and production engineering, working with product, engineering, and domain teams to deploy AI-enabled applications, lead experiments, and ensure robust, scalable architectures.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or related field.
• 3+ years of experience in applied AI/ML engineering with production deployments.
• Experience with LLMs, fine-tuning, retrieval-augmented generation (RAG), prompt engineering, or custom model training.
• Experience with vector databases, high-dimensional embeddings, and semantic search.
• Experience applying LoRA adapters for efficient fine-tuning of foundation models, including training, evaluation, and integration into production pipelines.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, or similar.
• Experience building and operating AI/ML systems in air-gapped environments.
• Deep understanding of model development: supervised/unsupervised learning, neural networks, transformers, time-series, embeddings.
• Familiarity with modern AI/ML ops tooling: MLflow, SageMaker, Vertex AI, Databricks, or equivalent.
• Strong understanding of API design, microservices, containers, and CI/CD for ML.
• Ability to connect technical solutions to business value and communicate effectively with executives and non-technical stakeholders.

Responsibilities

• Design, build, and deploy scalable AI/ML tools for generative AI use cases.
• Develop end-to-end ML pipelines, including LLM tool 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 hallucination vectors, biases, or terminology changes.
• Partner with domain SMEs to translate real-world constraints into features, labels, and model requirements.
• Evaluate emerging AI technologies, frameworks, and foundation models and recommend their use in mission-relevant applications.
• 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.
• Prepare demos, prototypes, and proof-of-concept integrations that illustrate feasibility and value.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

LLMs

RAG

Prompt engineering

Vector embeddings

Education

Bachelor's or Master's in CS/ML/DS

Tools

MLflow

SageMaker

Vertex AI

Databricks

Job description

Atlas Tech in the United States seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that tackle mission-critical problems and deliver measurable value.

The role blends research, prototyping, and production engineering, working with product, engineering, and domain teams to deploy AI-enabled applications, lead experiments, and ensure robust, scalable architectures.