Software AI Engineer

New

NeuroHireAI software

United States. CanadaFull-TimeEntry

Salary not disclosed

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Job Details

Experience: 0–1 year of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or a related technical role.
Required Skills: PythonSQLGitJavaJavascriptPyTorchTensorflowRESTful APIsGitHubscikit-learn

Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Technology, Computer Engineering, or a related technical field.
0–1 year of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or a related technical role.
Strong understanding of programming fundamentals and object-oriented programming.
Proficiency in at least one programming language, preferably Python, Java, or JavaScript.
Basic understanding of artificial intelligence, machine learning, and deep learning concepts.
Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Understanding of data structures, algorithms, and problem-solving techniques.
Familiarity with REST APIs, backend development, and web application fundamentals.
Basic knowledge of SQL, databases, and data manipulation.
Understanding of model training, testing, evaluation, and basic machine learning workflows.
Familiarity with Git and GitHub for version control.
Strong analytical thinking, debugging, and problem-solving abilities.
Ability to write clean, maintainable, and testable code.
Academic projects, internships, or personal projects involving AI, machine learning, or software development are preferred.
Familiarity with OpenAI APIs, Hugging Face, LangChain, RAG, vector databases, cloud platforms, Docker, or AI application development is preferred.

Design, develop, test, and maintain software applications with AI-powered features and intelligent automation.
Write clean, efficient, reusable, and maintainable code using Python, Java, or JavaScript.
Assist in integrating machine learning models and AI services into software applications.
Develop and integrate REST APIs connecting AI models, backend services, and application components.
Work with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
Explore and implement large language models, generative AI, and natural language processing technologies.
Build AI-powered workflows, automation tools, and intelligent application features.
Work with structured and unstructured datasets and SQL databases.
Collaborate with software engineers and data scientists to improve application performance and AI integration.
Debug, test, and troubleshoot software applications and AI-related functionality.

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