Artificial Intelligence Engineer

Responsibilities

- Developing innovative software solutions to drive digital transformation and enhance business performance
- Designing, coding, and testing applications that deliver exceptional user experiences
- Conducting code reviews to uphold coding standards and improve software quality
- Implementing Continuous Integration/Continuous Delivery (CI/CD) practices to streamline software development processes
- Utilizing React Native and scripting languages to build scalable and efficient applications
- Collaborating with client teams to understand their needs and provide tailored software solutions
- Navigating complex situations to anticipate client and team needs and deliver quality outcomes
- Applying critical thinking to break down complex concepts and generate new ideas
- Interpreting data to inform insights and recommendations for software improvements
- Upholding professional and technical standards in alignment with the firm's code of conduct and independence requirements

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
- Excelling in client-focused relationship building and management
- Navigating complex situations with critical thinking and problem-solving
- Utilizing coding standards and code review for software engineering

- Design and build full-stack features end-to-end React/TypeScript front-ends and Python/FastAPI back-ends for GenAI agent products

- Architect and implement LLM-powered agent workflows using LangChain, LangGraph, or CrewAI to automate managed-services business processes
- Implementing continuous integration/continuous delivery (CI/CD) practices

- Comfortable with SQL/NoSQL, data modeling, containerization (Docker), orchestration (Kubernetes), and cloud (Azure / AWS / GCP)
- Developing proficiency in React Native and scripting languages
- Leveraging tools and methodologies to generate innovative solutions