AI Engineer

Bln24 • McLean, VA

48d

About The Position

The AI Engineer will 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. This role combines deep technical expertise in ML engineering with strong collaboration skills to build scalable, production-ready models integrated into cloud-native and API-driven environments. The ideal candidate brings hands-on experience with model development, MLOps, and modern AI tools, and is comfortable translating business needs into secure, interpretable, and actionable AI-driven systems.

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.

Nice To Haves

• Experience with LLM fine-tuning, Retrieval-Augmented Generation (RAG), or generative AI solutions.
• Prior contributions to open-source ML/AI projects or model repositories (e.g., Hugging Face).
• Experience applying AI in regulated domains such as finance, healthcare, or government.
• Familiarity with model interpretability, fairness, and bias mitigation techniques.
• Exposure to secure AI deployment practices in compliance with federal privacy and governance standards (e.g., FISMA, IRS Pub 1075).

Responsibilities

• Design and implement machine learning models and AI solutions, including natural language processing (NLP), large language models (LLMs), and deep learning architectures.
• Build end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment.
• Operationalize models using MLOps practices and tools such as MLflow, Docker, and cloud-native services.
• Deploy models into production environments using SageMaker, Vertex AI, TorchServe, FastAPI, or similar deployment frameworks.
• Collaborate with software engineers, DevOps teams, and product owners to ensure integration of models into applications and workflows.
• Monitor model performance, retraining schedules, and observability metrics to ensure reliability and compliance.
• Translate complex data and model outputs into actionable insights for technical and non-technical stakeholders.
• Participate in Agile ceremonies, code reviews, and model documentation to support collaboration and transparency.

Benefits

• BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally.
• We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
• You can join one of the fastest growing companies headquartered in the Washington DC Metro Area.
• We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
• Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives.
• Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level