AI Engineer – Entry Level

Centennial Technologies is seeking a talented and motivated AI Engineer with technical expertise in modern AI frameworks and workflows. This role focuses on designing, developing, and deploying advanced AI models and intelligent systems to solve complex problems in healthcare and financial domains. The ideal candidate has hands-on experience deploying AI and workflow solutions and can translate research into production-ready solutions.

Responsibilities

• 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).
• Experience using n8n/Temporal workflow automation platforms is a plus.
• 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, including large language models (LLMs), generative AI, and reinforcement learning.
• Hands-on experience with Microsoft technologies, including Azure cloud platform and Azure OpenAI for building, training, and deploying models is a plus.
• Strong understanding of software engineering best practices (Git, CI/CD).

Preferred Qualifications

• 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).

Schedule

Hybrid – At least 4 days onsite in Tysons Corner, VA. Full-time.

Benefits

• Medical, Dental, and Vision Insurance.
• Short-Term and Long-Term Disability.
• Life Insurance.
• 401(k) Retirement Plan.
• Paid Time Off and Federal Holidays.

About the Company

Centennial Technologies Inc. is committed to a healthy work-life balance and provides a collaborative and supportive professional environment. We offer:

• Flexible PTO and casual work culture.
• Regular opportunities for career advancement and skills development.
• Performance-based rewards and recognition.
• Regular employee feedback and collaboration.
• Paid training in emerging technologies and federal compliance.
• Client-focused, employee-centered growth.