Artificial Intelligence Engineer

Responsibilities

- Developing innovative software solutions to drive digital transformation and enhance business performance
- Designing, coding, and testing applications to deliver exceptional user experiences
- Conducting code reviews to maintain coding standards and improve software quality
- Utilizing Python and React Native for software development and system development tasks
- Collaborating with clients to understand their needs and deliver tailored software solutions
- 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 all software engineering activities
- Building meaningful client connections and managing relationships to support project success
- Navigating complex situations to grow personal brand and deepen technical skills

What You Must Have

- At least a Bachelor's degree
- At least 5+ 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 code review and adhering to coding standards

- 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.

- Utilizing Python and React Native for software development.

- Developing innovative solutions in system development.

- Navigating complex client engagements with a focus on relationship building.

- Interpreting data to provide actionable insights and recommendations.