Remote AI Engineer

Salary: £65,000 – 105,000 per year

Requirements

• We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications.
• We need strong experience with LLM models such as GPT, Anthropic, and similar technologies.
• Bachelors degree in Computer Science, Engineering, or a related field, or 3+ years of relevant experience.
• Familiarity with API development, integration, and SaaS platforms.
• Past experience with AI, specifically large language models and related technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Desire to work in a fast-paced, dynamic startup environment.
• Preferred: familiarity with TypeScript.
• Preferred: experience deploying or managing infrastructure on AWS.

Responsibilities

• Research, design, and develop AI models using existing or bespoke LLM models and other AI technologies to improve and automate API and SaaS interactions.
• Manage and update data pipelines used for AI use cases.
• Collaborate with cross-functional teams to identify opportunities for AI integration and automation.
• Optimize and refine existing AI models and applications for performance and scalability.
• Stay current with advancements in AI and LLM technologies and apply new knowledge to our AI strategy.
• Implement best practices in AI development, ensuring compliance with data privacy and security regulations.
• Document and communicate research findings and development progress to stakeholders.
• Collaborate with other software and AI engineers to deliver larger-scale projects.

Technologies

• AI
• API
• AWS
• Datadog
• Embedded
• Support
• LLM
• NestJS
• Oracle
• Rails
• React
• Security
• Sentry
• Svelte
• TypeScript
• Cloud
• Lambda
• CTO
• GitHub
• HTTP
• JIRA
• NodeJS
• OpenAPI
• Postman
• REST
• Slack

Benefits

We offer 25 days holiday plus additional tenure-based leave, employee share options, private health insurance including dental and optical, home office support, paid lunch in the office, annual team offsites, Cycle2Work and electric car schemes, and a hybrid setup typically with 2 days in the office.

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