AI Engineer
4 days ago
Job Title: Agentic AI Developer (Contract Role)
Location:
Sydney or Melbourne, Australia
Industry:
Banking/Financial Services
Total Experience:
4+ Years
About the Role:
We are seeking an
AI Engineer
with strong experience in
Retrieval-Augmented Generation (RAG)
and
agent-based development
. In this role, you will be responsible for building and deploying
RAG
models, integrating them with agentic AI frameworks, and running these models in
production environments
. The ideal candidate will have
hands-on experience
in coding, deploying, and optimizing AI-driven solutions for a
leading banking client
.
Key Responsibilities:
- Design and implement
Retrieval-Augmented Generation (RAG)
models to combine external data retrieval with generative capabilities for more accurate and context-aware outputs. - Apply
agent-based frameworks
(experience with any model is fine) to develop intelligent models that can autonomously make decisions and interact with dynamic environments. - Engage directly in the
coding
and
implementation
of AI models. This is not just a design role – you'll be building the systems and taking them into production. - Take AI models into
production
, ensuring scalability, reliability, and optimal performance in a live environment, particularly in the banking/financial space. - Work alongside other AI engineers, data scientists, and business stakeholders to ensure the solutions align with business objectives and deliver impact.
- Utilize
AWS Bedrock suite
and other
AWS services
to deploy, scale, and manage models effectively in the cloud. - Continuously monitor and
optimize models
after deployment to ensure they perform well in production, troubleshooting any issues and improving model efficiency.
Required Skills & Experience:
- At least
2 years of hands-on experience
in
Retrieval-Augmented Generation (RAG)
and
agent-based AI
model development. - A broad understanding of
agentic development frameworks
(experience with any agent model is acceptable). - Proven experience coding and developing AI models, not just designing solutions. The role requires hands-on involvement in both model creation and deployment.
- Demonstrated experience in taking
AI models into production
and managing them in a live environment (deployment, scaling, monitoring). - 2-3 years of experience
in
Python
with a focus on
AI
and
machine learning
. - Experience with
AWS services
, specifically the
Bedrock suite
, to deploy, scale, and manage AI models.
Desirable Skills:
- Experience working in the
banking or financial
services industry. - Experience with frameworks like
TensorFlow
,
PyTorch
, or
Keras
is a plus. - Experience with optimizing AI models post-deployment, including techniques such as A/B testing, model versioning, and drift detection.
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