AI / ML Developer – React/Python - £650 OIR35

Our trusted partner, who operates within the Ed-Tech domain and employs over 10,000 employees is hiring a LLM GenAI Full Stack Engineer to help build a Chat application using React and Python. Our client wants to pay £650 PD Outside IR 35 to start ASAP for an initial 3/6 month contract on a hybrid basis based near Stratford, London.

The developers should be proficient in full-stack development and cloud engineering and strongly desire to contribute to a groundbreaking project that will transform the future of language learning and assessment. While this role does not need Data Science skills, experience delivering production systems with AI components is highly desirable.

Main Accountabilities

• Collaborate with the Technology Lead, product managers, experience designers, QA, and subject matter experts to develop and optimize the application.
• Contribute to the technical architecture, make relevant technical choices, and advise on the selection of third-party suppliers and partners.
• Develop, evolve, and maintain high-quality, scalable software applications.
• Delivery high-quality code in short iterations, focusing on business and end-user value
• Ensure the application meets high performance and scalability standards.
• Contribute to requirement definition (user stories) and analysis.
• Actively participate in code reviews, and design discussions, and provide constructive feedback to peers.

Core skill requirements:

• Strong development capabilities in full-stack web applications at an enterprise level are a must-have.
• Proficiency in Python, React.js, TypeSript, and AWS technology stack is a must-have.
• Experience in Ed-Tech, Education, or Consultancy would be highly desirable.
• Experience in software development and architecture, with a track record of delivering high-quality, scalable software applications is desirable.
• Experience working on AI / ML / LLM-based applications is desirable.
• Experience delivering Chat messaging applications would be great.

Two stage remote interview process with capacity to start ASAP.