AI Engineer – Entry Level

Centennial Technologies; Tysons (VA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401(k) Retirement Plan

Paid Time Off

Federal Holidays

Job summary

Centennial Technologies is seeking an AI Engineer to design, develop, and deploy advanced AI models and intelligent systems across healthcare and financial domains. You will translate research into production-ready solutions and work with NLP, predictive analytics, and state-of-the-art AI methods.

The role focuses on building production-ready AI workflows, deploying models via APIs, collaborating with cross-functional teams, and ensuring data privacy and ethical AI practice.

Qualifications

• 0–2 years of experience in AI or related field.
• Bachelor’s degree in CS/DS/AI/ML or related field (Master’s preferred).
• Experience with n8n/ Temporal workflow platforms is a plus.
• Proficiency in Python, big data tech (Spark/Hadoop), and data libraries (Pandas/NumPy).
• Strong knowledge of ML algorithms, DL architectures, LLMs, and RL.
• Hands-on experience with Azure cloud and OpenAI models is a plus.
• Solid software engineering practices (Git, CI/CD).

Responsibilities

• Design, build, and deploy AI workflows using n8n and integrate with backend systems.
• Deploy models to production via APIs, microservices, and cloud platforms.
• Develop and train NLP and predictive analytics models.
• Implement and optimize models using Python, PyTorch, and related frameworks.
• Monitor and improve model performance, scalability, and reliability.
• Research state-of-the-art AI/ML methods (LLMs, transformers, generative AI).
• Collaborate with cross-functional teams to integrate AI into apps and workflows.
• Document architectures, experiments, and workflows for reproducibility.
• Ensure AI solutions comply with data privacy, security, and ethics.

Skills

Python

PyTorch

MLops

NLP/ML

Git & CI/CD

Big data tools

Azure cloud

Education

Bachelor's degree in CS/DS/AI/ML

Master's degree preferred

Tools

n8n

Temporal

Spark/Hadoop

Pandas/NumPy

Docker/Kubernetes

Azure OpenAI

Git

MLflow/Kubeflow

Job description

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

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

State: DMV Virginia

City: Tysons Corner

Category: Information Technology & Services

Work Arrangements: Full Time

Equal Opportunity Employer statements preserved above as part of the description.