Senior AI/ML Engineer: Build Production GenAI Tools

Atlas Tech; West Virginia; On-site; USD 120,000 - 180,000; Full time

Job summary

Atlas Tech is seeking a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve mission-critical problems and deliver measurable value. You will lead architectures, select models, and translate complex concepts into production-ready capabilities across end-to-end pipelines.

The role blends research, prototyping, and practical engineering, requiring collaboration with product, engineering, and domain teams.

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, including 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 newly discovered hallucination vectors, user-reported biases, or changes in operational terminology
• Partner with domain SMEs to translate real-world constraints into effective 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 clearly illustrate feasibility and value

Skills

Python

Model deployment

Communication

ML pipeline

Education

Bachelor’s or Master’s in CS/ML/Data Science/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

MLflow

SageMaker

Vertex AI

Databricks

Vector databases

Job description

Atlas Tech is seeking a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve mission-critical problems and deliver measurable value. You will lead architectures, select models, and translate complex concepts into production-ready capabilities across end-to-end pipelines.

The role blends research, prototyping, and practical engineering, requiring collaboration with product, engineering, and domain teams.