AI Developer

Finalto
Slough, UK
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Software Quality Databases Continuous Integration Python (Programming Language) Search Technologies Software Deployment Software Engineering Systems Architecture AI Infrastructure
+9 more
Large Language Models Prompt Engineering Build Management Api Gateway Software Version Control Data Pipelines Automation Anywhere Api Management Databricks

Job description

Design and build AI-powered workflows that remove friction and boost efficiency across the business (e.g. document processing, bank statement parsing, news summarisation)Develop LLM-based applications using RAG, prompt engineering, and fine-tuning where it drives measurable gains Manage AI infrastructure and tool integrations (API gateways, MCPs, external services) with appropriate governance and access controlsDesign data pipelines and system architecture to support AI workflows at scale, working with databases and vector search solutionsGather requirements, understand pain points, and co-design solutions with business teams to translate operational problems into technical implementationsDeploy solutions within enterprise environments (Azure, AWS, Databricks), with occasional ownership of monitoring and iterationMaintain code quality through testing, version control and CI/CD practices

Requirements

3+ years in software engineering or AI application development, with shipped production projectsProficiency in Python and SQLExperience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc.)Experience designing and building end-to-end projects, ideally with personal AI projects that demonstrate passion for the spaceStrong problem-solving ability with a focus on real-world applicationsExperience with API integrations and building systems that connect multiple servicesGood communication skills and ability to work with non-technical stakeholders Desired Skills Experience with RAG architectures and vector databases (e.g. Pinecone, FAISS, Azure AI Search)Experience deploying applications on AzureUnderstanding of CI/CD and software engineering best practicesExperience building workflow automation systemsFamiliarity with DatabricksExposure to financial services or trading environments, Degree in STEM or relatedDemonstrated portfolio of AI or automation projects - We would love to see your GithubExperience working in a fast-paced, delivery-focused environment

About the company

Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise. Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance. As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions. Role DescriptionAs an AI Developer at Finalto, you will build the automation layer that transforms how we work. You’ll design and ship AI workflows that replace manual processes across the business - delivering faster execution, lower costs, and new capabilities. This is a high-ownership role with real visibility and impact. You’ll take solutions from concept to production in weeks, not months. You’ll also work directly with teams across the org to co-design solutions that stick, raising AI fluency as you go.

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