Artificial Intelligence Engineer

Soar Technology - Orlando, FL

Full-time - Mid Level

Orlando, FL

Professional, Scientific, and Technical Services

About the position

The Artificial Intelligence Engineer at SoarTech will play a crucial role in developing AI technologies that adapt and scale to address complex problems across various domains. This mid-level position requires a commitment to the company's core values and involves implementing algorithms, maintaining code, and collaborating with teams to achieve project goals.

Responsibilities

• Implement algorithms, knowledge bases, complex logic, and other AI technologies into new and existing systems.
• Build and maintain efficient, reusable, and reliable code.
• Design, document, implement, debug, and test software.
• Create plans and estimates for building software features that satisfy requirements.
• Understand software system specifications and recommend improvements, including understanding the implications of system-level decisions.
• Ensure that systems are safe and secure against cybersecurity threats.
• Participate in integrated test sessions with industry partners, academia, and customers/sponsors.
• Contribute to project vision and milestone development, identifying tasks and supporting team initiatives.
• Produce documentation on software design, system design, and testing.
• Collaborate with other engineers, project leads, and program manager to accomplish project goals.
• Perform other duties as assigned.

Requirements

• Three (3) years of software programming experience in a similar scope, program, and/or environment.
• Bachelor's Degree in engineering, computer science, mathematics, physics, or a related discipline.
• Experience and high proficiency at designing and implementing software components in Python, Java, and/or C++.
• A general understanding of machine learning algorithms including deep learning, neural network design, deep reinforcement learning, large language models (LLMs), and computer vision.
• A passion for working with Artificial Intelligence.
• Ability to analyze and solve challenging technical problems.
• Experience designing and debugging complex machine learning systems.
• Experience using task tracking and project management software, such as GitLab or Jira.
• Excellent written and verbal communication skills.
• Ability to travel up to 25% to support technical presentations, testing, and integration.
• Ability to obtain and maintain a Department of Defense (DOD) Security Clearance.

Nice-to-haves

• An advanced degree in engineering, computer science, mathematics, physics, or a related discipline.
• Knowledge or experience in deploying ML models with Kubernetes.
• Familiarity with common machine learning frameworks such as PyTorch, TensorFlow, or Jax.
• Experience with LLM frameworks such as HuggingFace.
• Knowledge of transformer-based autoregressive NLP techniques (BERT, BART, XLNet, etc.).
• Experience solving reasoning problems with LLMs.
• Familiarity with multi-modal LLMs (vision, audio, and other non-textual input).
• Experience with multi-agent, swarming, and complex adaptive systems.
• Knowledge of sensor and data fusion.
• Experience in simulation and game development.
• Experience supporting development projects for defense or aerospace technology platforms.
• An active Department of Defense (DoD) Security Clearance.