Early Career AI Engineer (Contract)

Key Responsibilities

• Develop and Maintain Web Applications
• Design, build, and maintain front-end and back-end features for web applications, ensuring they are scalable and high-performing.
• Use HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue to create intuitive and responsive user interfaces.
• Build server-side logic and APIs using technologies like Node.js, Python, Java, or Ruby.
• Build a highly flexible, scalable Agentic AI Framework by leveraging popular AI toolsets like LangChain.
• Data schema design and database management: Design and manage databases, such as MySQL, MongoDB, PostgreSQL, or others, ensuring efficient data storage and retrieval.
• Integrate APIs and Third-Party Services: Integrate external APIs and services, such as OpenAI APIs, payment gateways, social media APIs, or analytics tools, as needed.
• Perform Testing and Debugging: Write unit, integration, and end-to-end tests, troubleshoot issues, and resolve bugs across the full stack of the application.
• Optimize for Performance: Improve performance by optimizing application code, databases, and server configurations to reduce latency and increase efficiency.

Qualifications

• Proficiency in front-end technologies like HTML, CSS, and JavaScript, and experience with at least one modern front-end framework (e.g., React, Angular, or Vue).
• Proficiency in Back-End Development, knowledgeable of server-side languages such as C#, Java, Python, Node.js, Ruby, or PHP and familiarity with building RESTful APIs and knowledgeable of Web Development Frameworks.
• Knowledge/familiarity with variety of data schema design, and database management, e.g. relational databases (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB, Cassandra).
• Proficiency in debugging and problem-solving across both front-end and back-end systems.
• Ability to write clean, maintainable code, adherence to coding standards and best practices, with a focus on creating well-organized, readable, and maintainable code.
• Adaptability and willingness to learn, ability to quickly learn new technologies and adapt to changing project requirements.