Job Description

Hello Future AI Engineer

• As part of our Core Banking Team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious.
• Now’s the time to imagine your potential in a team where experts come together and ignite effective change

Are you someone who can:

• Assist in training, testing, and fine-tuning ML and LLM models as part of larger projects
• Help collect, clean, and preprocess datasets for use in AI pipelines
• Work on small components of AI systems such as prompt crafting, inference scripts, or evaluation tasks
• Perform exploratory data analysis and create visualizations to support modeling efforts
• Collaborate with senior engineers to understand system requirements and deployment workflows
• Write clear, well-documented code and participate in code reviews
• Conduct basic research into AI tools and libraries and summarize findings for the team
• Participate in team meetings and contribute to a learning-focused, inclusive development culture

​​You will be an ideal candidate if you:

• Have a Bachelor of Science degree in a relevant field
• Have 1 to 2 years of experience in AI
• Are proficient in Python and familiar with frameworks like TensorFlow or PyTorch

You will have access to:

• Opportunities to network and collaborate
• Challenging work that pushes boundaries
• A culture of innovation and continuous learning

We can be a match if you are:

• Curious & courageous – driven by a desire to learn and explore
• Obsessed with mastery – always striving to improve and excel
• Passionate about ethical AI and responsible innovation

Key Responsibilities:

• Design, develop, and maintain full stack applications that integrate with AI agents built in Copilot Studio.
• Build and optimize conversational flows, triggers, and actions using Copilot Studio and Power Automate.
• Integrate AI agents with external APIs, databases, and enterprise systems.
• Collaborate with cross-functional teams to deliver intelligent, user-centric solutions.
• Stay current with AI trends and rapidly evolving platforms, continuously learning and applying new tools.

Required Skills & Experience:

• Proficiency in Python and basic understanding of key libraries (e.g., NumPy, Pandas, scikit-learn)
• Familiarity with foundational machine learning concepts such as classification, regression, and clustering
• Basic understanding of deep learning and neural networks, especially transformer models
• Exposure to machine learning frameworks such as PyTorch or TensorFlow (projects or coursework acceptable)
• Interest in LLMs, conversational AI, or agentic systems (some hands-on experience preferred)
• Familiarity with version control tools (e.g., Git) and basic software development practices
• Willingness to learn MLOps tools (e.g., MLflow, HuggingFace, LangChain)
• Some experience of cloud services (e.g., AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes)
• Willingness to learn LLM/AgentOps or ML pipeline tools
• Awareness of ethical considerations in AI development
• Strong curiosity, communication skills, and desire to grow within a collaborative AI team

Nice to Have:

• Experience with Google AgentSpace or similar conversational AI platforms.
• Experience building and managing MCP servers.
• Familiarity with n8n or other workflow automation tools.
• Exposure to Microsoft 365, Teams, or Dynamics 365 integrations.
• Background in AI/ML, NLP, or chatbot development.