Software AI Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design, create, test, and maintain software applications that feature AI-driven capabilities and intelligent automation.

• Write clean, efficient, reusable, and maintainable code utilizing Python, Java, or JavaScript.

• Integrate machine learning models and AI services into software solutions.

• Develop and integrate REST APIs that connect AI models, backend services, and application components.

• Utilize TensorFlow, PyTorch, Scikit-learn, large language models (LLMs), generative AI, and natural language processing (NLP) technologies.

• Construct AI-driven workflows, automation tools, and intelligent application features.

• Work with both structured and unstructured datasets to enhance AI model development and application functionality.

• Collaborate with software engineers, data scientists, and cross-functional teams to optimize application performance and AI integration.

• Debug, test, and troubleshoot software applications and AI-related functionalities.

• Use SQL and databases for storing, retrieving, and managing application data.

• Employ Git and GitHub for version control and collaborative development.

• Engage in code reviews, technical discussions, and software development activities.

• Stay informed about emerging AI technologies, software engineering practices, and advancements in machine learning.

⛳️ Requirements

• A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Technology, Computer Engineering, or a related technical discipline.

• 0–1 year of experience in Software Engineering, AI Engineering, Machine Learning Engineering, or a similar technical position.

• Strong comprehension of programming fundamentals and object-oriented programming principles.

• Proficiency in at least one programming language, ideally Python, Java, or JavaScript.

• Basic knowledge 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 the fundamentals of web applications.

• Basic understanding of SQL, databases, and data manipulation techniques.

• Comprehension of model training, testing, evaluation, and fundamental machine learning workflows.

• Familiarity with Git and GitHub for version control.

• Basic knowledge of large language models (LLMs), generative AI, and prompt engineering is a plus.

• Understanding of natural language processing (NLP) concepts is advantageous.

• Strong analytical thinking, debugging, and problem-solving skills.

• Ability to produce clean, maintainable, and testable code.

• Excellent communication, teamwork, and collaboration abilities.

• Willingness to learn new AI technologies and adapt to changing technical requirements.

• Experience through academic projects, internships, or personal projects related to 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 like AWS, Microsoft Azure, or Google Cloud Platform.

• Familiarity with Docker, model deployment, or workflows for AI application development.

• Experience in building AI-driven applications, chatbots, recommendation systems, or automation solutions.

🏝️ Benefits

• Opportunity to contribute to an innovative, AI-driven technology company.

• Hands-on experience with real-world AI engineering and software development projects.

• Opportunities to enhance practical skills in artificial intelligence, machine learning, and software engineering.

• Exposure to contemporary AI frameworks, tools, APIs, and development technologies.

• A collaborative environment that fosters innovation, experimentation, and continuous learning.

• Opportunities for professional development and technical career advancement.

• Chance to work on intelligent applications and contribute to impactful technology solutions.