Lexsi Labs is a frontier AI lab building aligned, interpretable, and safe superintelligent systems. Our work spans alignment methods, interpretability-led system design, and foundational model research across LLMs, agents, and tabular / structured-data models.
A core part of our work is turning advanced AI research into production systems. That means taking internally developed libraries and model workflows, such as
AlignTun
e,
TabTun
e, and
DLBacktrac
e, and integrating them into a scalable platform infrastructure that supports training, inference, evaluation, observability, and enterprise deployment
.
We are hiring
a Senior AI Platform Engine
er to build the platform layer that operationalizes Lexsi’s core AI system
s.
This role is centered
on R&D-to-platform roll
out: taking technically sophisticated model systems and making them usable, reliable, and scalable inside the product stack. You will work across model pipelines, training systems, inference infrastructure, distributed execution, and backend platform architectu
re.
This is not a thin integration role. It requires strong engineering depth and enough model understanding to work effectively with systems involv
ing fine-tuning, RL, alignment, interpretability, agent execution, and inference optimiza
tion acr
oss LLMs, agents, and tabular foundation mo
d
**els.
Responsibil**
**nable.
Example Problems You Might Wo**
**ructure.
Requi**
**ional cost
Strong Bo**
-
nus Signals
Expe
rience with alignment, interpretability, or AI sa
-
fety systemsExpe
rience with multi-cluste
r scheduling, inference optimization, or serving infrastructure for
-
large modelsExperience converting internal research frameworks into reusable platform
**odel systems
What This**
a junior roleThis role is for engineers who want to work on the hardest layer in applied AI: the b
oundary where model science, platform architecture, and prod
uction sy
stems collide.
