Get AI-powered advice on this job and more exclusive features.
We are a deep-tech AI startup backed by
Accelerating Asia
and
Ignition AI Accelerator , on a mission to revolutionise enterprise AI through a new generation of
symbolic, self-supervising AI systems .
The Role
We are seeking an
AI Engineer
to join our core research and development team in Singapore.
You will play a central role in building the next generation of symbolic AI systems — developing and integrating first-principles reasoning, knowledge graphs, and self-supervised symbolic learning.
Your work will directly contribute to advancing the frontiers of enterprise AI for high-impact domains such as finance, procurement, scientific discovery, and strategic planning.
Responsibilities
Design and implement core modules that enable
symbolic reasoning
and
graph-based inference
on structured and semi-structured data.
Develop and optimize algorithms for
graph construction , and
reasoning over large-scale knowledge graphs .
Contribute to internal
evaluation frameworks
for model training and validation.
Contribute to the
deployment of models
on various cloud platforms, and in-house infrastructure.
Participate in
cross‐functional research
involving symbolic AI, causal inference, and interpretable graph neural networks.
Qualifications
Master’s degree
(or higher) in
Artificial Intelligence, Computer Science, Applied Mathematics,
or related STEM field.
Strong understanding of
machine learning
fundamentals, with an interest in
symbolic or hybrid (symbolic + neural) AI approaches .
Experience with
graph-based models ,
graph neural networks (GNNs) , or
graph analytics frameworks
(e.g., Neo4j, NetworkX, PyTorch Geometric, DGL, cuGraph).
Proficiency in
Python
and familiarity with key ML and graph libraries (PyTorch, TensorFlow, scikit‐learn, etc.).
Strong background in
data structures ,
logic , or
algorithmic reasoning .
Ability to think abstractly about systems that model relationships, dependencies, and causality.
Excellent problem‐solving and collaboration skills, with a deep curiosity for
interpretable, self‐improving AI systems .
Must be a
Singaporean citizen or permanent resident .
Preferred Experience (Bonus)
Experience with
knowledge graphs
or
ontological data representation .
Familiarity with
symbolic logic ,
constraint satisfaction , or
causal modelling .
Exposure to
enterprise automation ,
data pipelines , or
simulation systems .
Background in
reinforcement learning ,
energy‐based models , or
neurosymbolic AI
is a plus.
Strong mathematical foundation in
graph theory ,
probability , or
information theory .
Why Join Us
Be part of the
core founding team
shaping a new AI paradigm.
Work on
frontier research problems
that tackle some of the hardest challenges in artificial intelligence.
Build technology that
defines the future of enterprise reasoning .
Be part of a
globally ambitious AI startup
based in Singapore.
#J-18808-Ljbffr