The Company
Our client is a highly respected global financial services institution with a strong reputation for stability, innovation, and growth. With an established presence across investment banking, advisory, and wealth management, they are known for their ability to combine market insight with disciplined execution.
The firm is now placing significant strategic emphasis on technology and Generative AI, creating a unique opportunity for talented engineers to help shape the future of how financial institutions operate. This is an outstanding chance to join a market leader at a pivotal moment of transformation.
The Role
As part of the AI Engineering team, you will:
* Design and deliver advanced AI-driven solutions
, tackling complex technical challenges with creativity and precision.
* Write secure, production-grade code
in Python and other modern languages, ensuring seamless integration with generative AI platforms.
* Shape architecture and design
for sophisticated AI applications, ensuring scalability, resilience, and compliance with enterprise standards.
* Analyze and visualize large datasets
, extracting insights that continuously refine and optimize AI systems.
* Proactively detect patterns and hidden issues
, using them to strengthen system architecture and improve code hygiene.
* Contribute to technical communities of practice
, staying at the cutting edge of generative AI tools and methodologies.
* Promote an inclusive and collaborative culture
, where diverse perspectives drive innovation.
The Candidate
We're looking for someone with:
* 3+ years of professional software engineering experience
, with formal training or certifications in core concepts.
* Deep coding expertise
, especially in Python and modern AI/ML frameworks.
* Proven track record of
developing, debugging, and maintaining software
within large-scale enterprise environments.
* Strong grasp of the
Software Development Life Cycle (SDLC)
with emphasis on generative AI systems.
* Experience applying
agile methodologies
, including CI/CD pipelines, application resilience, and security practices.
* Solid exposure to
cloud computing, AI/ML, and modern software stacks
, with a strong preference for
AWS
.
* Familiarity with
GenAI-specific technologies and workflows
.
Preferred Skills
* Hands-on experience with
optimizing and fine-tuning AI models
for scalability and efficiency.
* Knowledge of
data engineering pipelines
to support AI training and deployment.
* Ability to work closely with product and business teams to
embed AI into broader enterprise processes
.
* Strong understanding of
ML algorithms and techniques
— supervised, unsupervised, and reinforcement learning.
* Practical expertise with frameworks and libraries such as
TensorFlow, PyTorch, Scikit-learn, and Keras
.
Why Join?
* Work on
state-of-the-art Generative AI solutions
with real-world impact.
* Operate at the
intersection of engineering excellence and AI innovation
.
* Be part of a team where
your code drives the future of enterprise-scale AI adoption
.