AI Engineer
- Integrate AI solutions into existing products and workflows
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Conduct model evaluations, prompt engineering, and fine-tuning of large language models (LLMs)
- Implement and manage AI orchestration, including agent-based systems
- Participate in the design and implementation of AI-powered applications and interfaces
- Help shape the technical direction and best practices for LLM application development
- Stay at the forefront of AI research and incorporate state-of-the-art techniques
- Proficiency in programming languages such as Python, JavaScript, or TypeScript
- Experience working with foundational model APIs and pre-trained open source models
- Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning
- Familiarity with AI orchestration and agent-based systems and best practices (LangChain, AutoGen, n8n)
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills and the ability to translate technical concepts to non-technical stakeholders
- Experience with cloud platforms such as AWS, Google Cloud, or Azure
- Knowledge of Kubernetes and containerization technologies
- Experience with data science and ML engineering
- Familiarity with retrieval-augmented generation (RAG)
- Start Date: Immediately
- Status: Full-time
- Type: Hybrid
- Location: London, UK
- Travel Requirements:
- Department: Engineering
- Reports to: VP of Engineering
- 25 holiday plus bank holidays
- Opt in salary sacrifice pension scheme (company full 4% of basic salary contribution)
- Paid parental leave
- Private medical insurance through Vitality (including dental & vision)
- Employer-paid life insurance 2x base salary
- Donation Matching for a charity of your choice (up to $1,000/ year)
- WFH equipment stipend
- $1,000/year in Professional Development funds
- Lunch provided on in- office days
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