Junior AI Engineer

About Citco

Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs. 

For more information about Citco, please visit www.citco.com 

About the Team & Business Line

Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service excellence. 

As a core member of our technology team, you will work with dedicated professionals to build and support secure, cloud-native, AI-enabled applications for the financial services industry. Using modern software engineering practices, AI-assisted development, and cross-functional collaboration, you will help deliver reliable, high-quality solutions that ensure clients maintain seamless access to their critical information assets while keeping Citco ahead of industry innovation.

Within the AI Engineering team, you will assist with developing document intelligence solutions that classify financial and client documents, extract structured data, and drive business process automation. Working closely with business stakeholders, you will contribute to the development, testing and enhancement of AI-powered solutions under the guidance of senior engineers leveraging large language models, natural language processing, document processing services, machine learning, and agentic workflows to solve complex business challenges and create measurable value.

About You:

• You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience. 
• Up to 2 years of software engineering, data, machine-learning or relevant project experience. 
• Working knowledge of Python, Git, APIs, automated testing and core software engineering practices. 
• Familiarity with Python libraries such as Pandas, NumPy or scikit-learn. 
• Foundational understanding of generative AI and machine learning concepts, including prompts, embeddings, retrieval augmented generation (RAG), model evaluation and document processing.
• Exposure to natural-language processing, document processing, machine-learning frameworks or AI application development. 
• Exposure to cloud services, preferably AWS. Familiarity with Azure or another cloud provider is an advantage. 
• Interest in AI testing approaches, evaluation methods and test harnesses. 
• Strong learning mindset, analytical ability, communication skills and attention to detail. 
• Knowledge of financial services is helpful but not required. 

AI-Native Engineering Expectations

• Use AI coding assistants to accelerate learning, implementation, testing and documentation within team guardrails.
• Validate generated output for correctness, security, relevance and maintainability.
• Be able to explain why submitted code and tests exist and what behavior they protect.
• Apply established prompt, RAG and AI application test cases, datasets and harnesses with guidance.
• Escalate uncertain, sensitive or high-risk outputs for human review.
• Demonstrate responsible use of AI coding assistants and development tools.
• Seek guidance when generated outputs impact security, compliance, architectural decisions or business-critical functionality.
• Continuously improve understanding of AI development patterns and quality practices.

Career Development Expectations

• Demonstrate continuous growth in software engineering, cloud and AI technologies.
• Progressively take ownership of increasingly complex features with guidance.
• Develop the skills required to independently deliver AI-enabled solutions.

Our Benefits

Your well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location. 

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

Your Role

• You will work in a cross-functional agile team to build and support cloud-native and AI-enabled applications. With guidance from experienced engineers, you will deliver well-defined features, strengthen your software engineering skills and use AI development tools responsibly.
• Participate in sprint planning, daily scrums, reviews and retrospectives.
• Implement well-defined application features, APIs, data-processing components, prompts and AI integrations under guidance. 
• Implement solutions based on established architecture, design patterns and technical specifications.
• Support the development of document-processing, machine-learning, RAG and generative AI capabilities. 
• Write clean, typed and maintainable Python code, and contribute to ReactJS components where required. 
• Work with common Python data and AI libraries such as Pandas, NumPy and scikit-learn under guidance. 
• Create and validate unit and integration tests for changed behavior, including appropriate error and edge cases. 
• Review AI-generated code, tests and documentation before including them in a change. 
• Troubleshoot defects, address review feedback and keep technical documentation current. 
• Support AWS deployments and CI/CD activities using established patterns, controls and runbooks. 
• Collaborate with Platform, Quality Engineering, data, security and operations colleagues. 
• Learn and apply software engineering best practices.
• Participate in code reviews and incorporate feedback.
• Develop proficiency in AI, cloud and software engineering technologies through practical project work.
• Contribute to reusable components and documentation.