Software Engineer
1 day ago
Location:
Bengaluru, India —
On-site (Full-time)
Compensation:
Competitive package based on experience
Who We Are
At
Machani Robotics
, we are building the future of human–robot interaction through our advanced
Humanoid Framework
, powering humanoid robots like
RIA
and others.
Our mission is to create humanoids that can
think, understand, and respond
with human-like intelligence — combining deep learning, retrieval-augmented reasoning, and local-first AI execution.
If you've ever wanted to bring AI models to life — to make them
move, speak, and feel present in the world
— this is your stage.
Role Overview
As an
AI Engineer (NLP)
, you will take a leading role in developing, fine-tuning, and deploying large language and multi-modal models for humanoid systems.
You'll design efficient retraining pipelines, integrate
LoRA adapters
, and build frameworks that enable
continuous learning
,
contextual recall
, and
offline adaptability
across distributed edge devices.
You will collaborate closely with the
Systems
,
Robotics
, and
Cloud Infrastructure
teams to optimize inference pipelines for performance, reliability, and scalability.
What You'll Work On
- Fine-tune and adapt foundation models using
LoRA
,
PEFT
, or
QLoRA
methodologies. - Design retraining workflows using ,
PyTorch Lightning
, or
Hugging Face
pipelines. - Implement
RAG (Retrieval-Augmented Generation)
layers with hybrid memory stores such as
Vector Store
,
Redis
, and
GraphDB
. - Optimize model inference through
GGUF
,
GGML
, or
ONNXRuntime
pipelines for real-time humanoid interaction. - Contribute to the
AI Daemon
layer — orchestrating multimodal models for speech, vision, and cognition. - Build automation around
data curation
,
evaluation
, and
model versioning
using CI/CD workflows. - Collaborate with cross-functional teams to deploy models across
cloud
,
edge
, and
on-device
environments.
What You Bring
- Bachelor's or Master's degree in
Computer Science
,
Artificial Intelligence
,
Machine Learning
, or related fields. - Deep understanding of
transformer architectures
,
attention mechanisms
, and
tokenization
. - Hands-on experience in
LoRA/PEFT fine-tuning
,
embedding generation
, and
inference optimization
. - Proficiency in
Python
and
PyTorch
(experience with
TensorFlow
,
vLLM
, or
Hugging Face Transformers
is a plus). - Strong grasp of
vector databases
,
RAG frameworks
, and
model evaluation metrics
. - Comfortable working with
Linux-based systems
,
Docker
, and
Kubernetes
. - Excellent collaboration skills and curiosity to explore
AI-driven robotics applications
.
Nice-to-Have
- Familiarity with
Go
or
Rust
for backend model integration. - Experience with
quantization
,
distillation
, or
ONNX graph optimization
. - Exposure to
speech
or
vision
models and multi-modal alignment. - Contributions to open-source model optimization or training frameworks.
Why Join Machani Robotics
- Build AI that
lives inside
humanoid robots. - Work with a passionate, cross-disciplinary team combining
software
,
hardware
, and
AI research
. - Access to cutting-edge compute infrastructure and model experimentation pipelines.
- Opportunity to publish, innovate, and lead next-gen AI integrations.
- Competitive compensation and long-term career growth within a frontier robotics company.
-
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