Main Purpose :
We are undergoing an exciting Digital Transformation and developing innovative technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking the data-rich proprietary documents that pass through our firm to enable high value process optimization and data science use cases.
We are seeking a Senior Software Engineer to grow our Document AI platform, developing robust and maintainable software to solve real business problems. You will be technically leading and building software using cutting edge cloud and technology stacks.
This is a hands-on Individual Contributor role.
Knowledge, Skills and Abilities :
- 5-8+ years of experience in software engineering
- Strong coder with demonstrated proficiency in Python
- Strong understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven design, object oriented programming, test driven development)
- Experience with modern software development lifecycle (CI / CD, IaC, Containerisation)
- Strong practical experience with cloud engineering and AWS (preference for AWS Certified Practitioners)
- Experience with databases (SQL, NoSQL) and data engineering on AWS (e.g. step functions, glue)
- Basic front-end experience highly desirable
- Basic understanding of Data Science and Machine Learning, or experience working with Data Scientists highly desirable
- Prior front office experience in Commodities, Fixed Income, Equities, Asset Management would be a plus
Key Responsibilities :
Develop software such as applications, micro-services, components and frameworksBuild core infrastructure and common services for the Document AI platformCommunicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production codeExample projects you might own in the first 6 months include :Develop cloud engineering pipeline for processing supply chain documentsImplement LLM workflow to automate information extraction from domain specific documentsDevelop RAG-based AI assistantCompetencies :
Engineering mindset, focused on delivering production solutions with the appropriate technologySelf-directed and comfortable working autonomouslyStrong desire to help people solve problemsKey Relationships :
You will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade code to solve them.You will support the Data Science & Engineering teams as a Centre of Excellence for Document AI related technology, providing support in the form of knowledge sharing and tool adoption.Department :
Digital Transformation TeamReporting Structure :
You will report directly to the Document AI Lead.(ref : hirist.tech)