What are the responsibilities and job description for the Artificial Intelligence (AI) Engineer I (2439) position at Jobs via Dice?
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Job Description
We are seeking an AI Design Engineer to lead the technical development and deployment of advanced AI, machine learning, and GenAI solutions across the energy and nuclear domains. This role requires deep expertise in model development, pre-training, and implementation of AI algorithms including vision AI, predictive analytics, LLM-based applications, and anomaly detection. The engineer will work closely with domain experts to translate operational challenges into AI-solvable problems, prototype models, validate performance, and support integration with enterprise systems. Strong Python and data science skills, familiarity with cloud AI platforms, and experience with MLOps pipelines are essential. This role is critical to delivering high-impact technical solutions across diverse business use cases such as factory vision systems, error analysis, and procedural automation.
Essential Responsibilities
Technical Expertise:
Job Description
We are seeking an AI Design Engineer to lead the technical development and deployment of advanced AI, machine learning, and GenAI solutions across the energy and nuclear domains. This role requires deep expertise in model development, pre-training, and implementation of AI algorithms including vision AI, predictive analytics, LLM-based applications, and anomaly detection. The engineer will work closely with domain experts to translate operational challenges into AI-solvable problems, prototype models, validate performance, and support integration with enterprise systems. Strong Python and data science skills, familiarity with cloud AI platforms, and experience with MLOps pipelines are essential. This role is critical to delivering high-impact technical solutions across diverse business use cases such as factory vision systems, error analysis, and procedural automation.
Essential Responsibilities
- Develop custom tools and utilities to enhance the generative AI pipeline, including data preprocessing scripts, model evaluation dashboards, and content visualization interfaces.
- Streamline repetitive tasks by automating processes, improving efficiency, and reducing manual intervention.
- Collaborate with QA engineers to design comprehensive test suites for generative AI models.
- Write unit tests to validate individual components, ensuring robustness and reliability.
- Work closely with data scientists to create diverse and effective prompts for generative models.
- Participate in prompt fine-tuning experiments to improve model performance.
- Integrate generative AI models into existing applications and services via APIs.
- Ensure seamless deployment across various platforms, including cloud environments.
- Collaborate with data engineers, DevOps, and product teams to align project goals.
- Maintain clear and concise documentation for tools, APIs, and integration procedures.
- Bachelor's Degree in Computer Science, Data Science, or related quantitative field.
- Minimum 5 years of experience in AI or Data Science.
- Preferred work location: Headquarters in Wilmington, NC; highly qualified U.S.-based remote candidates will be considered.
- This role requires access to U.S. export-controlled information; final offers contingent on obtaining authorization if applicable.
Technical Expertise:
- Strong proficiency in Python.
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Deep expertise in model development, pre-training, and implementation of AI algorithms including vision AI, predictive analytics, LLM-based applications, and anomaly detection.
- Familiarity with cloud AI platforms and MLOps pipelines.
- Experience with SQL and relational/NoSQL databases.
- Experience using modern development tools such as Git and testing frameworks.
- Understanding of software development life cycle impacts of technology choices.
- Knowledge of Lean/Agile/XP practices.
- Ability to break down problems and estimate time for development tasks.
- Awareness of current technology trends and ability to bring new ideas to the team.
- Understands the value proposition for customers and delivers solutions accordingly.
- Voices opinions and presents clear rationale based on data or evidence.
- Completes assigned tasks on time with high quality.
- Thoroughly understands problems before implementing solutions; asks clarifying questions when needed.
- Identifies opportunities for innovation and experiments with new software frameworks.
- Adapts to new environments and changing requirements.
- Writes code that meets standards and delivers desired functionality using selected technologies.