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Ai/ Workflow Engineer

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Centennial Technologies

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Location:
United States , Tysons Corner, VA

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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/ML and Workflow Engineers with strong technical expertise in machine learning, deep learning, workflow platforms, and modern AI frameworks. This role will focus on designing, developing, and deploying advanced AI models and intelligent systems to solve complex problems in healthcare, automation, and enterprise domains. The ideal candidate has hands-on experience deploying AI and workflow solutions and can translate research into production-ready solutions.

Job Responsibility:

  • Design, develop, and train machine learning and deep learning models for NLP, computer vision, and predictive analytics
  • Implement and optimize models using Python, PyTorch, and related frameworks
  • Design, build, and deploy workflows using n8n and integrate with backend systems
  • Deploy models into production environments using APIs, microservices, and cloud-native platforms
  • 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:

  • Experience as a software developer in Microsoft technologies
  • Experience using n8n/ Temporal workflow automation platforms
  • 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 experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Hands-on experience with MSFT Azure cloud platform and Azure OpenAI building, training and deploying models
  • Strong understanding of software engineering best practices (Git, CI/CD)

Nice to have:

  • Prior experience in healthcare, regulatory technology, or enterprise automation
  • Knowledge of data governance, security, and compliance frameworks (HIPAA, GDPR, FedRAMP)
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.)
  • Contributions to open-source AI projects or research publications
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
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
  • Supportive work environment that promotes work-life balance
  • Performance-based rewards and recognition
  • Regular employee feedback and collaboration
  • Paid training in emerging technologies and federal compliance

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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