Software Engineer-Artificial Intelligence

Job Description

Ready to grow your Artificial Intelligence engineering career? TeamGlobal is seeking a Software Engineer-Artificial Intelligence to join an innovative AI software initiative onsite in Cambridge, MA. This role offers the opportunity to work with advanced AI tools, support avionics-related applications, and collaborate in a fast-paced technical environment. Our Recruiters will provide full details on the role, interview process, and benefits, including $10K in free life insurance. Take the next step with TeamGlobal!

• Role Summary
• In this role, you will design, develop, test, and deploy Artificial Intelligence algorithms and models while supporting data analysis, system integration, and software optimization efforts. You will collaborate with cross-functional teams to ensure AI solutions are reliable, scalable, and aligned with ethical and regulatory standards.

• Education & Job Requirements
• Bachelor's degree in engineering, computer science, mathematics, physics, or chemistry with typically 3 or more years of experience in software engineering; or a Master's degree with typically 1 year of experience.
• For Level 3, typically 3 or more years of related work experience or an equivalent combination of advanced technical education and experience.
• Experience in C, C++, Python, or modern programming languages.
• U.S. person required for export compliance.

• Professional Attributes
• Strong analytical and problem-solving skills.
• Effective verbal and written communication skills.
• Collaborative mindset with the ability to work in cross-functional teams.
• Ability to manage priorities in a structured engineering environment.

• Preferred Skills
• Education or experience in AI algorithms and/or use of AI tools.
• Familiarity with AI frameworks such as TensorFlow or PyTorch.
• Familiarity with ADA or avionics software.
• Experience working in DevSecOps or CI/CD environments.

• Job Duties & Functions
• Design, develop, document, and implement Artificial Intelligence algorithms and models.
• Collect, clean, preprocess, and analyze datasets to ensure data quality and reliability.
• Test, document, debug, and optimize AI software systems.
• Conduct Safety Risk Management processes for AI models in accordance with organizational standards.
• Integrate AI models into production environments and monitor performance.
• Collaborate with domain experts and cross-functional teams to refine AI solutions.
• Research and implement emerging AI technologies, tools, and frameworks.

• Physical Requirements & Environment
• Fully onsite.
• Regular and predictable attendance required.
• Full-time schedule, 40 hours per week, 9:00 AM – 5:00 PM.
• Standard office and lab environment with minimal physical demands.