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AI Engineer

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Centennial Technologies

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Location:
United States , Tysons Corner

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Centennial Technologies is seeking talented and motivated AI Engineer with good technical expertise in modern AI frameworks and workflows. This role will focus on designing, developing, and deploying advanced AI models and intelligent systems to solve complex problems in healthcare, and financial domains.

Job Responsibility:

  • Design, build, and deploy workflows using n8n and integrate with backend systems
  • Deploy models into production environments using APIs, microservices, and cloud-native platforms
  • Design, develop, and train learning models for NLP and predictive analytics
  • Implement and optimize models using Python, PyTorch, and related frameworks
  • Monitor, evaluate, and improve model performance, scalability, and reliability
  • Research and experiment with state-of-the-art AI/ML methods (LLMs, transformers, generative AI)
  • Collaborate with cross-functional teams to integrate AI capabilities into applications and workflows
  • Document model architectures, experiments, and workflows to ensure reproducibility
  • Ensure AI solutions adhere to data privacy, compliance, and ethical AI practice

Requirements:

  • 0-2 years of experience in AI or related field
  • Bachelor’s degree in computer science, Data Science, AI/ML, or related technical field (Master’s preferred)
  • Expertise in programming languages such as Python, big data technologies (e.g., Spark, Hadoop) and data manipulation libraries (e.g., Pandas, NumPy)
  • Solid knowledge of classical ML algorithms, deep learning architectures, and modern AI techniques, large language models (LLMs), generative AI, and reinforcement learning
  • Strong understanding of software engineering best practices (Git, CI/CD)

Nice to have:

  • Any experience using n8n/ Temporal workflow automation platforms is a BIG plus
  • Any hands-on experience with Microsoft technologies, including Azure cloud platform and Azure OpenAI building, training and deploying models is a BIG plus
  • Prior experience in healthcare, regulatory technology, or enterprise automation is a plus
  • Knowledge of data governance, security, and compliance frameworks (HIPAA, GDPR, FedRAMP) is a plus
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) is a plus
  • Contributions to open-source AI projects or research publications is a plus
  • Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus
What we offer:
  • Medical, Dental, and Vision Insurance
  • Short-Term and Long-Term Disability
  • Life Insurance
  • 401(k) Retirement Plan
  • Paid Time Off and Federal Holidays
  • Flexible PTO
  • Casual work culture
  • Regular opportunities for career advancement and skills development
  • Paid training in emerging technologies and federal compliance

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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