AI Software Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Software Engineer (Fintech): Developing scalable web applications and AI-native features such as autonomous agents and intelligent workflows with an accent on LLM prompt optimization and production-grade system reliability. Focus on designing microservices architecture, optimizing model quality lifecycles, and maintaining cloud infrastructure.
Location: Hybrid (London, UK)
Company
provides Securities Lending as a Service (SLaaS), a digital platform that empowers brokers and wealth managers to offer securities lending to their clients.
What you will do
- Take end-to-end ownership of AI and agent systems, from architecture and design to implementation and production.
- Develop AI-native features including autonomous agents and intelligent workflows.
- Manage the full model quality lifecycle, including experimentation, production monitoring, and continuous improvement.
- Contribute to the design, maintenance, and troubleshooting of cloud applications and infrastructure.
- Translate business requirements into concrete system architecture and implement it across the full stack.
Requirements
- 6+ years of professional software development experience.
- Proven experience with LLMs, including writing, optimizing, and measuring the effectiveness of prompts and applications.
- Deep understanding of Computer Science fundamentals, data structures, algorithms, and performance complexity.
- Strong knowledge of software engineering principles including SOLID, TDD, and version control (Git).
- Experience with microservices architecture, CQRS, and event sourcing.
- Proficiency with a major cloud provider (AWS, Azure, or GCP), Kubernetes, and Docker.
Culture & Benefits
- Mission-driven environment focused on democratizing capital markets.
- Collaborative R&D culture that values technical excellence and innovation.
- Opportunity to work within a global team spanning the UK, US, and Israel.
- Focus on delivering high-quality, production-critical systems in a fast-paced environment.
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