Forward Deployed AI Engineer
- End-to-End Development: Design, build, and deploy AI-driven solutions, including setting up databases, creating data pipelines, and integrating models into production systems.
- AI and Machine Learning: Track the latest model releases, compare and evaluate them against customer use-cases, explore and deploy the latest AI data architectures.
- Infrastructure Management: Configure and manage local AI infrastructure, including setting up and optimizing Large Language Models (LLMs) and knowledge bases for local use.
- Full-Stack Development with AI integration: Create front-end prototypes and back-end systems for agentic simulations and other AI applications to showcase their potential. Be comfortable working with both manual- and AI-generated code.
- Prompt and Query Engineering: Work alongside our data scientists to develop and test complex queries and prompt engineering techniques to optimize the performance of our AI models.
- Research and Learning: Capture key learnings, pitfalls, and best practices from your work to inform our overall AI strategy and future roadmap.
- Collaboration: Work closely with cross-functional teams, including product managers, data scientists, and senior leadership, to translate business needs into technical solutions.
- Project Ownership: Autonomously drive projects and be able to clearly articulate the value of each one to the customer. This requires a self-starter who can work to outcomes rather than just following instructions.
- Travel and On-Site Working: Be willing to spend time deployed with customers to solve their most difficult problems using our software and solutions.
- Education: an undergraduate degree in a technical discipline (computer science, mathematics, physics, etc.) from a top university. Relevant Masters and PhD qualifications will be considered a strong plus.
- AI/ML Expertise: Hands-on experience with a variety of AI tools, frameworks, and concepts, including working with LLMs (Large Language Models) , RAG (Retrieval-Augmented Generation) , and deploying AI solutions.
- Software Development: Ability to think in terms of abstractions, modularity, and repeatability, as well as work with AI code generation agents. Experience with languages like Rust, C++, or Python is a significant plus. Although desirable, there is no explicit requirement for previous-years-of-experience; we're looking for skills as opposed to time served.
- Technical Versatility: A strong background as a generalist engineer with demonstrated experience across multiple technical domains. The ability to write great code is more important than proficiency in any specific language.
- Execution Focus: Able to act fast and decisively to get things done, with a bias towards action. You should be systematic but not rigid, making thoughtful tradeoffs to move projects forward.
- Customer-Centric Mindset: An ability to understand customer value hypotheses against concepts and translate them into functional prototypes.
- Deep Curiosity & Humility: A deeply curious mindset is essential. You should also be humble and comfortable saying "I don't know" when appropriate.
- Communication: Can articulate complex and highly technical ideas clearly. You should be able to communicate effectively internally and externally.
- The option to work from home (Weds/Thurs/Fri) or from our fantastic office in Shoreditch, London (as many days as you like!)
- Flexible working
- Private Health Insurance
- Enhanced pension scheme
- Enhanced parental leave
- 3 extra days off at Christmas (on top of our standard 25)
- L&D budget
- Regularly scheduled socials
- Share options
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