Software AI Engineer

Job not on LinkedIn

🔥 1 minute ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $80k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NeuroHire

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

☁️ SaaS

👥 HR Tech

🎯 Recruiter

SaaS • HR Tech • Recruitment

NeuroHire is an all-in-one SaaS "Career Operating System" that combines AI-driven automation with human career specialists to help IT professionals—especially international students and visa-dependent candidates—navigate the U. S. tech job market. The platform automates job discovery, resume and ATS optimization, large-scale application management, and company-specific interview preparation while human experts verify submissions, provide cultural and visa-aware guidance, and deliver coaching. NeuroHire positions itself as a human+AI symbiosis validated in a pilot program to deliver interview invites and job offers for IT candidates seeking U. S. roles.

📋 Description

• Design, develop, test, and maintain software applications incorporating AI-powered features and intelligent automation. • Write clean, efficient, reusable, and maintainable code using Python, Java, or JavaScript. • Integrate machine learning models and AI services into software applications. • Develop and integrate REST APIs connecting AI models, backend services, and application components. • Work with TensorFlow, PyTorch, Scikit-learn, LLMs, generative AI, and NLP technologies. • Build 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, data scientists, and cross-functional teams 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 development. • Participate in code reviews, technical discussions, and software development activities. • Stay updated with emerging AI technologies, software engineering practices, and machine learning advancements.

🎯 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. • Basic understanding of Large Language Models (LLMs), generative AI, and prompt engineering is an advantage. • Familiarity with Natural Language Processing (NLP) concepts is a plus. • 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. • 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.

🏖️ Benefits

• Opportunity to contribute to an innovative, AI-powered technology company. • 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 work on intelligent applications and contribute to meaningful technology solutions.

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