OverviewThe 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.
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.
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 infrastructure
Key WordsArtificial Intelligence, AI, Machine Learning, Software Engineering, Application Development, Data Analysis, Problem Solving, Cross-Functional Collaboration, Continuous Learning, Innovation.
