AI Engineer (Hybrid) AI Workflows • Automation • Regulated Industries
Who they are: our client is building the AI workflow layer for complex, high-stakes processes, from legal contract reviews and compliance checks to financial audits and insurance claims.
We operate in a regulated services market where workflows are still largely manual, siloed, and impossible to scale without risk. Our platform changes that. Our client automates multi-step, document-heavy workflows with the precision, auditability, and security demanded by regulated industries, unlocking speed and accuracy that were previously out of reach.
We work with compliance officers, legal ops leaders, and financial services innovators who trust us as their exclusive AI workflow automation partner. For them, we’re not a “nice-to-have” experiment, we’re business-critical infrastructure.
We’re a remote-first, high-growth company headquartered in Holborn, London, with team members in New York and Poland. Our team combines 50+ years of AI, automation, and enterprise transformation experience, and we’re just getting started.
If you want to work on real-world AI that solves meaningful problems, in a company where your work moves fast from idea to production and into the hands of industry leaders, you’ll love it here. -----------------------------------------------------------------------------------
Who We’re Looking For We’re looking for an AI Engineer to expand our AI innovation & delivery capacities and help
us address real-world client problems. We currently have a particular focus on
language-based Generative AI, and therefore we are looking for someone with knowledge
and experience in this space. Specifically, we need someone to help with the entire AI
capability lifecycle, i.e., identify relevant new AI capabilities, present ideas to the product team, facilitate internal learning / understanding, contribute to the product roadmap, prototype these capabilities, and spec, develop, and maintain production-level AI features (in collaboration with software engineers and the wider product team).
This person will collaborate with consultants, engineers, designers, product specialists, and
salespeople to take solutions from ideation through deployment to value!
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This opportunity is for an AI Engineer who is happy to work in London (hybrid) as part of a
remote-first, highly collaborative, fast moving, tech scale-up.
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What You’ll Do ● Stay at the forefront of Generative AI capabilities, and identify those relevant to our
product, WorkflowGPT, and based on real client use cases.
● Prototype new Generative AI capabilities, and present relevant new capabilities to
the wider team for consideration in the product roadmap
● Spec, develop, and maintain production-level Generative AI features (in collaboration
with software engineers)
● Facilitate internal learning and understanding so that the wider team (from
engineering to sales) understand the new Generative AI capabilities
● Support sales, by demonstrating solutions to client use cases based on existing
WorkflowGPT capabilities
● Contribute to the continuous improvement of AI innovation and delivery capacities
within the organisation.
● Work remotely as part of a remote-first startup, actively engaging in a highly
collaborative and fast-moving environment.
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Skills, Experience, and Mindset An ideal candidate would have most of the following:
● Proficient in researching, prototyping, and implementing algorithms (AI or otherwise)
● Proficient Python programming skills
● Experience working in a software engineering team
● Strong interest in Generative AI
● Good knowledge and experience in Generative AI concepts (e.g. prompt engineering,
RAG, agents, fine-tuning, etc), and tools (e.g. LangChain, LangSmith, LangGraph, etc)
● Well-rounded ML knowledge (i.e. not just generative AI)
● Proficiency in data science tools and techniques, e.g. NumPy, pandas, scikit-learn,
notebooks, streamlit, etc
● Experience using Microsoft Azure
● Strong interpersonal and communication skills in English, both written and verbal
● Experience working in a fast-moving product company
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● Experience with Data Engineering tools & techniques, e.g. Databricks, Spark, Azure
Data Factory, Kafka, etc, and distributed systems in general
● BSc/MSc in Computer Science, Physics, Mathematics, Engineering, or similar field
● Passionate about technology, product, user experience and building high quality
solutions.
● Collaborative mindset with the ability to work effectively with consultants, engineers,
designers, and product specialists.
----------------------------------------------------------------------------------- What We Offer
● A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.
● An opportunity to contribute to the growth and direction of our rapidly-evolving Solution Engineering team, building best-in-class solutions.
● Competitive base salary. ● Workplace Pension ● A collaborative environment that promotes growth, learning, and development.
At Curvestone we don’t just accept differences, we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients and our services. We are an equal opportunity employer and all qualified applicants will receive equal consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, marital status, national origin, physical or mental disability, race, religion, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable adjustments due to a disability during the application or interview process please let us know and we will be pleased to assist.
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