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.
What We’re Looking For:
A fast learner who’s excited about the evolving AI landscape.
Someone who’s proactive, collaborative, and solution-oriented.
A developer who’s not afraid to experiment with new platforms and technologies
End Date: October 15, 2025
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