AI Engineer (AI)

TL;DR

AI Engineer (AI): Building and optimizing scalable AI solutions and data pipelines, including Generative AI and Agentic AI, for advanced analytics and intelligent automation. Focus on developing, training, and deploying machine learning and deep learning models, performing data exploration, and ensuring compliance with data governance.

Location: Onsite in Plano, TX or Teaneck, NJ. Applicants must be willing to relocate to this major geographic area. US work authorization required, no sponsorship provided.

Salary: $65,000 annually

Company

hirify.global is a leading professional services company, transforming clients' business, operating, and technology models for the digital era.

What you will do

• Build, train, and deploy machine learning and deep learning models, including Generative AI (LLMs, diffusion models) and Agentic AI solutions.
• Perform data exploration, feature engineering, and statistical analysis.
• Ingest, process, and analyze structured, semi-structured, and unstructured data using Python and SQL.
• Collaborate with data scientists, engineers, and business stakeholders.
• Monitor, troubleshoot, and optimize AI models and data workflows for performance and scalability.
• Ensure compliance with data governance, security, and privacy policies.

Requirements

• Bachelor's or master's degree in computer science, data science, artificial intelligence, or a related discipline.
• Programming skills in Python and SQL.
• Knowledge of cloud AI/ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI) and Agentic frameworks (Langgraph, Lang chain, Crew.ai).
• Hands-on experience with at least one AI/ML framework (e.g., TensorFlow, PyTorch, Hugging Face).
• Understanding of core machine learning concepts, algorithms, and models (e.g., supervised vs. unsupervised learning, regression, classification, clustering).
• Solid understanding of Generative AI (e.g., LLMs, GANs) and Agentic AI concepts.

Nice to have

• Familiarity with MLOps practices.
• Familiarity with essential libraries for data science and machine learning (e.g., Pandas, NumPy, scikit-learn).
• Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes).

Culture & Benefits

• Medical, Dental, Vision, and Life Insurance.
• Paid holidays plus Paid Time Off.
• 401(k) plan and contributions.
• Long-term and Short-term Disability.
• Paid Parental Leave and Employee Stock Purchase Plan.
• Energetic, collaborative, and inclusive workplace that supports diverse backgrounds.