AI Engineer

Design, develop, and deploy artificial intelligence and machine learning solutions to support high-impact federal programs focused on intelligent automation, data quality, and predictive analytics.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum 3 years of experience in software/ML engineering.
• Proven experience leading and delivering end-to-end AI/ML projects in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience building NLP pipelines, working with transformer-based models, or developing applications using LLMs.
• Hands-on knowledge of MLOps tools and practices including MLflow, model versioning, containerization (Docker), and CI/CD for ML.
• Experience deploying models to production using cloud platforms such as AWS SageMaker, GCP Vertex AI, or custom APIs like FastAPI or TorchServe.
• Familiarity with data engineering principles and integration with upstream data pipelines.
• Ability to collaborate across disciplines, mentor junior team members, and communicate technical solutions clearly.

Benefits

• Generous medical, dental, and vision plans.
• Flexibility to work remotely and balance work and personal life.
• Opportunity to work in different sectors and have variety while maintaining stability.
• Equal opportunity employer with a high value on diversity and inclusion.