Software AI Engineer

neurohire.ai

3h • $80,000 - $100,000

About The Position

NeuroHire is seeking an early-career Software AI Engineer to help design, develop, and integrate AI-powered software solutions. The role combines software engineering and artificial intelligence, including application development, machine learning model integration, and the creation of intelligent features using modern AI technologies. The engineer will collaborate with software developers, data scientists, and cross-functional teams to build scalable and efficient applications.

Requirements

• 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.
• Strong communication, teamwork, and collaboration skills.
• Willingness to learn new AI technologies and adapt to evolving technical requirements.

Nice To Haves

• Basic understanding of Large Language Models (LLMs), generative AI, and prompt engineering.
• Familiarity with Natural Language Processing (NLP) concepts.
• Academic projects, internships, or personal projects involving artificial intelligence, machine learning, or software development.
• Familiarity with AI APIs and frameworks such as OpenAI APIs, Hugging Face, or LangChain.
• Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Docker, model deployment, or AI application development workflows.
• Experience building AI-powered applications, chatbots, recommendation systems, or automation solutions.

Responsibilities

• Design, develop, test, and maintain software applications incorporating AI-powered features and intelligent automation.
• Write clean, efficient, reusable, and maintainable code using languages such as Python, Java, or JavaScript.
• Assist with 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 AI and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Explore and implement technologies including Large Language Models (LLMs), generative AI, and natural language processing (NLP).
• Assist in building AI-powered workflows, automation tools, and intelligent application features.
• Work with structured and unstructured datasets to support AI model development and application functionality.
• Collaborate with software engineers and data scientists to improve application performance and AI integration.
• Debug, test, and troubleshoot software applications and AI-related functionality.
• Use SQL and databases to store, retrieve, and manage application data.
• Use Git and GitHub for version control and collaborative software development.
• Participate in code reviews, technical discussions, and software development activities.
• Stay updated on emerging AI technologies, software engineering practices, and machine learning advancements.

Benefits

• Hands-on exposure to real-world AI engineering and software development projects.
• Opportunities to develop practical skills in artificial intelligence, machine learning, and software engineering.
• Exposure to modern AI frameworks, tools, APIs, and development technologies.
• Collaborative environment that encourages innovation, experimentation, and continuous learning.
• Opportunities for professional development and technical career growth.
• Opportunity to contribute to an innovative, AI-powered technology company and meaningful technology solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level