Artificial Intelligence Software Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Artificial Intelligence Software Engineer in the United States.

This is an exciting opportunity for a creative and technically driven AI professional to join a fast-growing, innovation-focused team. In this role, you will design, develop, and implement advanced AI and machine learning solutions to address real-world challenges across various domains. You will work collaboratively with engineers, data scientists, and product teams to build intelligent systems that power next-generation applications. This position offers the chance to work at the intersection of AI research and production engineering—where innovation meets scalability and impact.

Accountabilities

• Design, build, and optimize machine learning and deep learning models for use in production systems
• Develop AI algorithms for applications such as computer vision, speech recognition, NLP, and recommendation systems
• Collect, preprocess, and analyze large datasets to ensure data quality and enhance model performance
• Implement scalable software pipelines to deploy AI models on cloud or edge environments
• Collaborate with cross-functional teams to integrate AI-driven capabilities into existing products and systems
• Research emerging AI technologies, frameworks, and tools to drive innovation and performance improvements
• Document design decisions, technical specifications, and best practices for ongoing development
• Provide mentorship and technical support to junior team members and contribute to a collaborative learning culture

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or related field (Master's or Ph.D. preferred)
• Minimum of 3 years of experience in AI software development, machine learning, or deep learning engineering
• Strong programming skills in Python, Java, or C++, and hands-on experience with frameworks like TensorFlow, PyTorch, or scikit-learn
• Solid understanding of supervised, unsupervised, and reinforcement learning techniques
• Experience developing and deploying deep learning architectures such as CNNs, RNNs, or transformers
• Familiarity with software development best practices, including version control, testing, and CI/CD
• Strong problem-solving and analytical abilities with a proactive, research-oriented mindset
• Excellent communication skills and the ability to collaborate effectively across disciplines
• Experience with cloud environments (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) is a plus

Benefits

• Competitive compensation based on experience and performance
• Hybrid or fully remote work options available
• Comprehensive health, dental, and vision insurance coverage
• Paid vacation, holidays, and personal time off
• Opportunities for professional growth, continuous learning, and certification support
• Innovative, fast-paced work environment where creativity and experimentation are encouraged

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!