Python developer in applied AI

We are seeking a talented and detail-oriented Software Engineer to join our automation and applied AI engineering team. As a member of a small, high-ownership team, you will participate throughout the software-development lifecycle—from learning and analyzing unfamiliar business processes through solution design, development, deployment, monitoring and production support.

• Design, develop, test and maintain full-stack automations and services across backend components, relational databases, REST APIs and web-based user interfaces.
• Develop solutions using Python and modern web frameworks such as Django, along with relational databases such as SQL Server.
• Develop and support web-based interfaces using modern JavaScript frameworks such as React.
• Build and support integrations with internal systems and third-party platforms, using APIs where available and controlled browser automation where modern integration options do not exist.
• Apply generative AI and large language models to appropriate business workflows, including document and email processing, information extraction, classification and AI-assisted report and summaries drafting.
• Implement appropriate controls for AI-enabled solutions, including structured-output validation, exception handling, auditability and human review where required.
• Proactively learn the workflows, terminology, controls and operational challenges of different business functions, asking thoughtful questions and developing sufficient domain knowledge to design effective automation solutions using appropriate technologies.
• Own assigned solutions throughout their lifecycle, including design, development, testing, deployment, monitoring, documentation and ongoing production support.
• Troubleshoot production issues, perform root-cause analysis and implement improvements to system reliability, performance, recoverability and supportability.
• Develop automated tests and participate in code reviews to maintain solution quality and reduce production risk.
• Implement effective logging, monitoring and alerting so that scheduled and unattended automations can be supported efficiently.
• Liaise with stakeholders across compliance, legal, trading operations, tax, treasury, finance, and HR to validate business logic, manage expectations, and communicate technical trade-offs and timelines in clear, non-technical terms.
• Develop and support Compliance and regulatory reports by working with Compliance stakeholders to translate approved business rules into reliable technical solutions, with appropriate data validation, traceability, documentation and auditability.
• Document and communicate technical designs and decisions, ensuring clear and effective knowledge sharing across technical and business audiences.
• Remain current with relevant software-development, automation and applied AI technologies and evaluate their potential use within the organization.

• Bachelor's or Master's Degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• 2-5 years of professional software-development experience, with a sound understanding of software-development lifecycle activities.
• Strong proficiency in Python and a modern web framework (e.g., Django) is essential.
• Experience designing, developing and consuming REST APIs.
• Strong SQL skills and experience working with relational databases such as SQL Server, including database design, querying and troubleshooting.
• Experience with Git-based source control and CI/CD practices is required.
• A self-directed and intellectually curious approach, with enthusiasm for learning unfamiliar business domains, understanding complex operational processes and applying technology to solve practical business problems.
• Excellent written and verbal communication skills, with a demonstrated ability to work directly with non-technical business stakeholders on requirements, trade-offs, and expectations.
• Будет плюсом: Practical experience integrating generative AI / large language model APIs into production applications, including prompt design and output validation, is highly desirable; Familiarity with DevOps methodologies is highly desirable; A background in Financial Services and an understanding of trade lifecycles or post-trade processes, familiarity with compliance areas such as AML, sanctions, employee compliance, trade surveillance, supervisory controls or audit-related reporting would be beneficial

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