Honeywell Aerospace Lighting in Urbana Ohio is seeking an AI Engineer to leverage artificial intelligence, particularly large language models (LLMs), to transform engineering processes by enhancing efficiency, automating routine tasks, improving design processes, and freeing engineers for complex problem-solving.
Requirements
- 3+ years of experience in software development, data science, or AI/ML engineering (internships or significant project work acceptable).
- 3+ years of experience in at least one major programming language such as Python (preferred), Java, or C++.
- 2+ years of experience with foundational concepts of Large Language Models (LLMs) and their applications (internships or significant project work acceptable).
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Understanding of version control systems (e.g., Git) and agile development methodologies.
- Prior exposure or coursework related to aerospace engineering principles, design, or manufacturing.
Responsibilities
- Design, prototype, and implement AI/LLM-based solutions to automate trivial, repetitive tasks and streamline complex engineering project and design processes.
- Develop tools and applications that leverage LLMs to assist engineers in data synthesis, report generation, knowledge retrieval, and documentation, thereby reducing manual effort and improving workload capacity.
- Utilize LLMs to synthesize vast amounts of engineering data, technical specifications, and historical project artifacts to create intelligent knowledge retrieval systems within our project SharePoint site.
- Optimize our project SharePoint site.
- Identify opportunities for AI-driven improvements that enhance efficiency, automate routine tasks, improve our design processes, and free our engineers to focus on complex problem-solving.
- Collaborate with senior engineers to identify and analyze redundant tasks and inefficient workflows across various engineering disciplines and design activity.
- Stay abreast of the latest advancements in AI, machine learning, and large language models, applying new knowledge to continuously enhance our internal tools and processes.
Other
- Rapidly learning our established design standards, configuration control protocols, and project management practices.
- Become proficient with our design configuration control systems and methodologies, identifying how AI/LLMs can support and enhance these critical processes.
- Learn and contribute to our project artifact storage and retrieval systems, exploring AI solutions for improved organization, searchability, and data integrity.
- Work closely with cross-functional engineering teams, IT specialists, and project managers to gather requirements, deploy solutions, and provide user training and support.
- Excellent communication (written and verbal) and interpersonal skills, with the ability to integrate into diverse teams.
