Artificial Intelligence Engineer

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About Us

At SoarTech, our focus is on the development of artificial intelligence (AI) that reasons like humans do to automate complex tasks, simplify human-machine interactions, or model human behaviors. Our philosophy is three-fold: to be an augmentation to, not a replacement of, the human; to think “top-down, not bottom-up;” and to be transparent so that decisions and processing are communicated to the human in human-like terms.

SoarTech is growing and we are looking for individuals interested in helping research, develop, and implement this exciting technology into everyday operations.

We are looking for mid-level Artificial Intelligence engineers who will help develop AI technologies that adapt and scale to solve sophisticated problems across a variety of problem domains. AI Engineers embrace and represent the SoarTech Core Values (Innovative, Honest, Customer Focused, Respectful, Integrity and People) in all aspects of their duties and responsibilities.

Duties and 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, this includes understanding the implications of system-level decisions and how to mitigate and leverage them.
• 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. Identifies tasks and supports team initiatives to accomplish them.
• Produces 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.

Required Skills and Experience

• 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.

Preferred Skills (Not Required)

• An advanced degree in engineering, computer science, mathematics, physics, or a related discipline.
• Knowledge or experience in any of the following technology areas:
• Deploying ML models with Kubernetes.
• Common machine learning frameworks such as PyTorch, TensorFlow, or Jax.
• LLM frameworks such as HuggingFace.
• Transformer-based autoregressive NLP techniques (BERT, BART, XLNet, BERT Topic, etc.)
• Solving reasoning problems with LLMs (chain of thought reasoning, integration of external planners, etc.)
• Multi-modal LLMs (vision, audio, and other non-textual input.)
• Multi-agent, swarming and complex adaptive systems.
• Sensor and data fusion.
• Simulation and game development.
• Experience supporting development projects for defense or aerospace technology platforms.
• An active Department of Defense (DoD) Security Clearance.

Physical Requirements

• Prolonged periods sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.