Senior AI Engineer

Senior AI Engineer
Working with our business partners to create, improve and sustain industry and infrastructure. Orbital Engineering has been driven by this core purpose for more than 50 years - energizing Orbital team members and helping our clients solve challenging and complex problems with innovative engineering, inspection, and construction solutions. Orbital team members are guided by the fundamental beliefs of building trusted relationships, personal accountability, innovation, and excellence in everything we do. Orbital is looking for others to join our team to continue activating our purpose and embrace our values.

Orbital Engineering is seeking a talented and motivated
Senior AI Engineer
with expertise in agentic systems, LLMs, and SLMs to join our dynamic team and contribute to the development of next-generation AI applications.
This is a fully remote position within the United States.
This role will focus on designing and implementing custom agentic workflows that enable autonomous reasoning, decision-making, and multi-step execution across internal and external systems. You will play a key role in architecting intelligent agents capable of orchestrating tools, integrating with operational processes, and adapting to real-world environments. The ideal candidate has hands-on experience building or deploying agent-based systems, a strong foundation in modern AI pipelines, and the ability to work collaboratively with engineering, operations, and product teams to develop practical, scalable, workflow-driven solutions.

Essential Duties And Responsibilities
Position duties include, but are not limited to, the following:

• Algorithm Development: Architect, develop, and implement custom agentic workflows that enable autonomous reasoning, task execution, and decision-making across internal and external systems.
• Tool and API Integration: Lead efforts in object detection, recognition, and tracking, utilizing state-of-the-art techniques to achieve superior performance.
• Memory and Context Management: Develop and optimize long-term and short-term memory systems, retrieval strategies, and state management for persistent agent behavior.
• Model Application and Tuning: Apply, fine-tune, and optimize LLMs, SLMs, and RAGs for task-specific workflows, using frameworks such as LangChain, AWS Bedrock Agents, or equivalent.
• Performance Optimization: Improve agent reliability, response evaluation, latency, and reasoning accuracy through iterative testing, reinforcement, or structured feedback loops.
• Collaboration: Collaborate closely with software engineers, data scientists, and product managers to integrate computer vision solutions into products and applications.
• Testing and Evaluation: Develop and implement testing protocols to evaluate the performance, robustness, and reliability of computer vision models in diverse environments.
• Documentation: Maintain thorough documentation of computer vision models, algorithms, and implementations for knowledge