AI Engineer Intern (Summer 2027)

Who are we?

At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission-critical solutions across Lending, Payments, and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.

About the role

As an AI Engineer Intern at Finastra, you will gain hands-on experience working with cutting-edge Artificial Intelligence (AI) and Generative AI technologies. You will collaborate with experienced engineers and AI specialists to help develop innovative solutions that enhance how users interact with information, systems, and data. This internship provides an opportunity to learn modern AI development practices while contributing to real-world projects involving Large Language Models (LLMs), conversational AI, intelligent search, and cloud-based AI platforms. You'll develop valuable technical skills, gain exposure to enterprise software development, and build a strong foundation for a career in AI and machine learning.

Responsibilities & Deliverables

• Support the development of AI-powered applications, including chatbots, virtual assistants, and knowledge-based solutions.
• Aid in building Retrieval-Augmented Generation (RAG) solutions that combine AI models with enterprise knowledge sources.
• Develop natural language interfaces and AI-powered tools that simplify access to data and information.
• Engage in prompt engineering activities to improve AI model responses and user experiences.
• Work with AI frameworks such as LangChain, LangGraph, CrewAI, or similar technologies under the guidance of senior team members.
• Assist with testing, debugging, documentation, and performance improvements for AI applications.
• Participate in Agile ceremonies, including sprint planning, stand-ups, and team collaboration sessions.
• Use GitHub and software engineering best practices for version control and code collaboration.
• Explore new AI technologies and contribute ideas to support innovation and continuous improvement.

Essential Required Skills & Experience

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Coursework, personal projects, academic research, or internship experience involving software development or AI technologies.
• Basic programming experience in Python.
• Foundational understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.
• Interest in Large Language Models (LLMs) and prompt engineering.
• Basic understanding of databases and data structures.
• Strong analytical and problem-solving skills.
• Effective verbal and written communication skills.
• Eagerness to learn, experiment, and work in a collaborative team environment.

Preferred

• Familiarity with AI frameworks such as LangChain, LangGraph, CrewAI, or similar tools.
• Exposure to cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
• Experience through coursework or projects using Generative AI or chatbot technologies.
• Understanding of vector databases, embeddings, or semantic search concepts.
• Familiarity with Git, GitHub, and software development lifecycle practices.
• Experience participating in hackathons, research projects, or open-source initiatives.

Benefits

• Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities.
• Well-being: Access confidential one-to-one support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive—inside and outside of work.
• Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.
• Sustainability: Paid time off for volunteering and donation-matching opportunities to support causes that matter to you.
• Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute.
• Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.
• Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.