Senior AI/ML Engineer — Production GenAI Architect

atlas-tech; Washington; On-site; USD 140,000 - 210,000; 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. You will lead solution architectures, select models, run experiments, and translate complex concepts into production-ready capabilities.

The role blends research, prototyping, and engineering, requiring collaboration with product and domain teams to deliver measurable value and maintain robust, scalable AI-enabled systems.

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 hallucination vectors and biases
• Partner with domain SMEs to translate constraints into features, labels, and model requirements
• Evaluate emerging AI technologies and recommend their use in mission-relevant applications
• Mentor junior engineers and contribute to internal standards and reusable components
• Ensure responsible AI practices, bias evaluation, data governance, and explainability
• Prepare demos, prototypes, and proof-of-concept integrations show feasibility and value

Skills

Applied ML

Python

LLM tooling

Model deployment

Experimentation

Systems architecture

RAG

Cloud platforms

CI/CD for ML

Education

CS/ML degree

Masters preferred

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

MLflow

SageMaker

Vertex AI

Databricks

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. You will lead solution architectures, select models, run experiments, and translate complex concepts into production-ready capabilities.

The role blends research, prototyping, and engineering, requiring collaboration with product and domain teams to deliver measurable value and maintain robust, scalable AI-enabled systems.