Senior Python AI Engineer - Agentic AI & Investment Intelligence

We’re looking for an experienced Senior Python AI Engineer to join a cutting-edge programme focused on transforming how investment professionals prepare for client engagements. Working within a high-profile initiative, you will help build an advanced AI-powered solution that generates investment insights from sales and research materials. Leveraging Agentic AI, LLMs, and Retrieval-Augmented Generation (RAG), the platform will dramatically reduce preparation time for client meetings while improving the quality and relevance of investment recommendations. This is an opportunity to work at the forefront of AI innovation, building production-grade systems that deliver real business value within the financial services sector., eAs a Senior Python AI Engineer, you will work closely with business stakeholders, architects, business analysts and development teams to design and deliver intelligent AI solutions. You’ll play a key role in shaping the architecture, developing scalable backend services, integrating LLM technologies, and driving engineering best practices across the software development lifecycle. You will also provide technical leadership, contribute to architectural decisions, and help evolve the platform as new capabilities and requirements emerge, * es Design, develop and enhance AI-driven applications using Python and modern cloud technologie

• s. Collaborate closely with business teams, architects and analysts to understand requirements and translate them into robust technical solution
• s. Build and maintain production-grade APIs and backend service
• s. Develop Agentic AI workflows capable of generating high-value investment insight
• s. Design and implement Retrieval-Augmented Generation (RAG) architecture
• s. Integrate and optimise Large Language Models (LLMs), including commercial and open-source solution
• s. Drive technical design discussions and contribute to architectural decision
• s. Perform code reviews, design reviews and unit testing activitie
• s. Identify opportunities for code optimisation, process improvements and system enhancement
• s. Support CI/CD, deployment automation and operational excellence initiative
• s. Contribute to development standards, engineering best practices and continuous improvement activitie
• s. Collaborate with cross-functional teams including developers, designers, content specialists and business stakeholder

• nce Strong commercial experience developing backend solutions in Pyth
• on Proven ability to write clean, maintainable, scalable and testable production co
• de Strong experience designing, building and supporting production APIs, ideally using FastA
• th:API version
• ionMonitoring and observabil
• ityPerformance optimisat
• ion Strong cloud engineering experience, preferably A
• cesQueues and messag
• ingServerless architectu
• resLogging and monitoring platfo
• rmsSecrets managem
• ent Experience with Git-based development workflo
• ws Experience building and maintaining CI/CD pipelin
• es Strong troubleshooting, debugging and problem-solving skil
• ls Demonstrated ownership across the full software development lifecyc, * enceWe are specifically seeking candidates with hands-on experience building production AI soluti
• ons.This inclu
• ies Embeddings, indexing, chunking and retrieval strateg
• ies Integrating Large Language Models includ
• ing:Op
• enAIAnthr
• opicOpen-source
• LLMs Prompt engineering and optimisat
• ion AI safety controls and guardra
• ils Cost, latency and performance optimisation for AI worklo
• kills Experience with Agent
• eway Understanding of machine learning concepts inclu
• ding:Embed
• ationFine-t
• unin
• gLoRAPrompt and retrieval evalu
• ation Frontend development experience using React and TypeSc
• ript Experience designing and implementing event-driven architect, ng ForYou’ll be a passionate engineer who enjoys solving complex problems and building innovative AI-powered products. You will be comfortable working with both technical and non-technical stakeholders and capable of influencing architecture, design and delivery deci

sions.Success in this role requires a combination of strong software engineering fundamentals, deep interest in Generative AI, and the ability to turn emerging technologies into scalable production solu