Senior AI Engineer (Remote)

Orbital Career

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profile Job Location:

Pittsburgh, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Senior AI Engineer (Remote)

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:

  1. Algorithm Development: Architect develop and implement custom agentic workflows that enable autonomous reasoning task execution and decision-making across internal and external systems.
  2. Tool and API Integration: Lead efforts in object detection recognition and tracking utilizing state-of-the-art techniques to achieve superior performance.
  3. Memory and Context Management: Develop and optimize long-term and short-term memory systems retrieval strategies and state management for persistent agent behavior.
  4. 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.
  5. Performance Optimization: Improve agent reliability response evaluation latency and reasoning accuracy through iterative testing reinforcement or structured feedback loops.
  6. Collaboration: Collaborate closely with software engineers data scientists and product managers to integrate computer vision solutions into products and applications.
  7. Testing and Evaluation: Develop and implement testing protocols to evaluate the performance robustness and reliability of computer vision models in diverse environments.
  8. Documentation: Maintain thorough documentation of computer vision models algorithms and implementations for knowledge transfer and future development.

Nice to Have:

  1. Experience with computer vision
  2. Speech-to-text / text-to-speech
  3. Multimodal experience.

Requirements:

  1. Education: Bachelors/Masters/Ph.D. in Computer Science Computer Vision or a related field.
  2. Experience: Minimum of five years of experience designing or deploying AI systems with hands-on examples of agentic frameworks LLM-based workflows or automation pipelines.
  3. Programming Skills: Proficient in programming languages such as Python and experience with relevant libraries and frameworks (e.g. OpenCV).
  4. LLM Knowledge: Strong understanding of prompting fine-tuning retrieval-augmented generation (RAG) evaluation methods and deployment best practices.
  5. Problem-Solving Skills: Ability to analyze complex AI Agent challenges and propose innovative solutions. Proficient in Python and modern workflow libraries (e.g. LangChain FastAPI PyTorch Transformers).
  6. Team Player: Excellent collaboration and communication skills to work effectively in a cross-functional team environment.
  7. Adaptability: Ability to adapt to evolving technologies and contribute to a fast-paced dynamic work environment.
  8. Communication: Candidate must be fluent in the English language and able to communicate complex concepts with business leader

Orbital Engineering Inc. has provided worldwide professional engineering and consulting services since 1969. Our commitment to quality responsiveness and attention to detail has earned us the reputation as a leading provider of engineering and design services.

A commitment to excellence and hard work will be rewarded with a competitive salary career advancement opportunities and an excellent benefits package including medical dental vision prescription drug 401(k) and supplemental insurance.

Orbital Engineering Inc. is an Equal Opportunity Employer EEO/AA/M-F-V-D. Orbital Engineering Inc. seeks diversity among its employees. Reasonable accommodations may be made to enable individuals to perform the essential job functions.

#LI-Remote


Required Experience:

Senior IC

Senior AI Engineer (Remote)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 wi...
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Key Skills

  • APIs
  • C/C++
  • Computer Graphics
  • Go
  • React
  • Redux
  • Node.js
  • AWS
  • Library Services
  • Assembly
  • GraphQL
  • High Voltage

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