Job description
Overview
The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.
The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.The AI Engineer IIsupports the design, development, and deployment of AI-powered applications and intelligent automation solutions.You will contribute toproductionAI solutionswithmodern AI platforms and tools,developingsystems that create measurable business value.Responsibilities
Design, develop, and support AI-powered applications, copilots, assistants, and intelligent workflows that improve business productivity and process effectiveness.Build solutions leveraging large language models (LLMs), machine learning models, and knowledge-based systems to address business challenges and enable intelligent decision-making.Integrate AI capabilities with enterprise applications, data sources, and business processes to deliver scalable and reusable solutions.Develop and maintain high-quality APIs, services, and application components following established software engineering standards and best practices.Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience.Collaborate with AI engineers, data engineers, and business stakeholders to design and deliver solutions that meet business and technical requirements.Stay current on emerging AI technologies, tools, and engineering practices through research, experimentation, and continuous learning to drive innovation and solution effectiveness.Design, develop, and support AI-powered applications, copilots, assistants, and intelligent workflows that improve business productivity and process effectiveness.Build solutions leveraging large language models (LLMs), machine learning models, and knowledge-based systems to address business challenges and enable intelligent decision-making.Integrate AI capabilities with enterprise applications, data sources, and business processes to deliver scalable and reusable solutions.Develop and maintain high-quality APIs, services, and application components following established software engineering standards and best practices.Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience.Collaborate with AI engineers, data engineers, and business stakeholders to design and deliver solutions that meet business and technical requirements.Stay current on emerging AI technologies, tools, and engineering practices through research, experimentation, and continuous learning to drive innovation and solution effectiveness.Design, develop, and support AI-powered applications, copilots, assistants, and intelligent workflows that improve business productivity and process effectiveness.Build solutions leveraging large language models (LLMs), machine learning models, and knowledge-based systems to address business challenges and enable intelligent decision-making.Integrate AI capabilities with enterprise applications, data sources, and business processes to deliver scalable and reusable solutions.Develop and maintain high-quality APIs, services, and application components following established software engineering standards and best practices.Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience.Collaborate with AI engineers, data engineers, and business stakeholders to design and deliver solutions that meet business and technical requirements.Stay current on emerging AI technologies, tools, and engineering practices through research, experimentation, and continuous learning to drive innovation and solution effectiveness.- Design, develop, and support AI-powered applications, copilots, assistants, and intelligent workflows that improve business productivity and process effectiveness.
- Build solutions leveraging large language models (LLMs), machine learning models, and knowledge-based systems to address business challenges and enable intelligent decision-making.
- Integrate AI capabilities with enterprise applications, data sources, and business processes to deliver scalable and reusable solutions.
- Develop and maintain high-quality APIs, services, and application components following established software engineering standards and best practices.
- Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience.
- Collaborate with AI engineers, data engineers, and business stakeholders to design and deliver solutions that meet business and technical requirements.
- Stay current on emerging AI technologies, tools, and engineering practices through research, experimentation, and continuous learning to drive innovation and solution effectiveness.
Qualifications
Master's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant experience. Comfortable with OOP and functional software engineering practices in Python Working knowledge of machine learning, deep learning, and other AI fundamentals including model development, evaluation, and deployment. Understandings of LLMs, RAG, vector search, and agentic workflows. Nice-to-Have / Plus Qualifications Graduate-level AI research experience. Experience building software applications, APIs, or technical solutions in collaborative development environments using source control. Experience with AWS or Microsoft cloud infrastructureMaster's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant experience. Comfortable with OOP and functional software engineering practices in Python Working knowledge of machine learning, deep learning, and other AI fundamentals including model development, evaluation, and deployment. Understandings of LLMs, RAG, vector search, and agentic workflows. Nice-to-Have / Plus Qualifications Graduate-level AI research experience. Experience building software applications, APIs, or technical solutions in collaborative development environments using source control. Experience with AWS or Microsoft cloud infrastructureMaster's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant experience. Comfortable with OOP and functional software engineering practices in Python Working knowledge of machine learning, deep learning, and other AI fundamentals including model development, evaluation, and deployment. Understandings of LLMs, RAG, vector search, and agentic workflows. Nice-to-Have / Plus Qualifications Graduate-level AI research experience. Experience building software applications, APIs, or technical solutions in collaborative development environments using source control. Experience with AWS or Microsoft cloud infrastructure- Master's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant experience.
- Comfortable with OOP and functional software engineering practices in Python
- Working knowledge of machine learning, deep learning, and other AI fundamentals including model development, evaluation, and deployment.
- Understandings of LLMs, RAG, vector search, and agentic workflows.
Nice-to-Have / Plus Qualifications
Nice-to-Have / Plus QualificationsNice-to-Have / Plus QualificationsNice-to-Have / Plus Qualifications- Graduate-level AI research experience.
- Experience building software applications, APIs, or technical solutions in collaborative development environments using source control.
- Experience with AWS or Microsoft cloud infrastructure