Senior AI Engineer
London, England, United Kingdom
StructureFlow
We’re building the world’s first visual modelling solution for corporate structures and transactions. Our mission is to transform the way that professionals work with complex information. Taking what’s traditionally found in impenetrable, text-based legal documents, StructureFlow enables users to dynamically collate, visualise and model information holistically, enabling professionals to cut through complexity through the power of visual working.
StructureFlow has secured Series A funding, we are growing fast and are at an exciting stage of scaling up. We have great traction today, working with over 50 highly engaged international law firms including 3/5 of the UK Magic Circle and a sizable segment of the US AMLAW 200.
This role is an exciting opportunity to join the Engineering team in our scale-up organisation as a senior AI engineer. We have been very successful in delivering our product to our customers so far but want your help to level up and leap forwards.
Responsibilities
We are always looking for innovative ways to help our clients visualise data more easily and to remove as much manual effort in creating diagrams as possible. The rise of generative AI marks an inflection point in the evolution of data visualisation giving our users the ability to create, query, and manipulate complex diagrams using unstructured sources of data. The Senior AI Engineer will take a hands-on role in enhancing our product AI features but will also take a wider view in understanding client requirements about a rapidly evolving area of technology.
Requirements
- You will have commercial experience in deploying Enterprise-ready secure applications.
- Highly expert with AI tools using Python (TypeScript also welcome)
- Experience with training and evaluating AI models for NLP and CV using libraries such as TensorFlow, PyTorch, Scikit-learn.
- Experience with deploying and using AI models on cloud platforms (preferably Azure)
- Experience with developing LLM agent-based applications using tools like LangGraph, Autogen, etc
- Experience dealing with the security aspects of using AI models with confidential client information
- Able to explain complex AI implementations to other colleagues and team members
- Commercial experience leading small teams of AI engineers, organising delivery of roadmap specific work tickets and directing the R&D effort to design and evaluate new AI solutions.
In addition, it would be great if you can demonstrate knowledge of the following:
- Familiarity with ontologies for professional knowledge domains like medical or legal
- Visual interface design for presenting AI features
- Awareness of ongoing innovations and solutions in the AI & LLMs domain
- Experience reviewing/publishing papers at AI/ML conferences and journals
Benefits
- Competitive salary
- Opportunity to join a dynamic startup in our mission to become the critical infrastructure for transactions of the future.
- High impact work that really matters. Success in this role will drive our company forwards and have an outsized impact on our business and our big-name clients
- Flexible working – 3 days in our WeWork London office
- Learning & development budgets and support
- Regular socials and events for the whole company
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Engineering Generative AI LLMs Machine Learning NLP Python PyTorch R R&D Scikit-learn Security TensorFlow TypeScript
Perks/benefits: Career development Competitive pay Conferences Flex hours Startup environment Team events
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