AI Engineer - Entry Level

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. The ideal candidate has some hands‑on experience deploying AI and workflow solutions and can translate research into production‑ready solutions. Key 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. Key Qualifications 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). Any experience using n8n/ Temporal workflow automation platforms is a BIG 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, large language models (LLMs), generative AI, and reinforcement learning. Any hands‑on experience with Microsoft technologies, including Azure cloud platform and Azure OpenAI building, training and deploying models is a BIG plus. Strong understanding of software engineering best practices (Git, CI/CD) Preferred Qualifications 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 Work Conditions Location: Hybrid – At least 4 days onsite in Tysons Corner, VA. Job Type: Full‑time About Centennial Technologies Inc. Centennial Technologies Inc. is committed to a healthy work‑life balance and provides a collaborative and supportive professional environment. We offer flexible PTO, casual work culture, and regular opportunities for career advancement and skills development. Benefits include Medical, Dental, and Vision Insurance Short-Term and Long-Term Disability Life Insurance 401(k) Retirement Plan Paid Time Off and Federal Holidays Our Culture 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 Client-focused, employee-centered growth Equal Opportunity Employer: Centennial is an equal opportunity employer and complies with all applicable federal, state, and local employment laws #J-18808-Ljbffr