Scribble Labs ( Ya Labs ) is a healthcare startup building innovative AI-powered solutions for post acute care (home health). Our web and mobile apps leverage cutting-edge AI to help clinicians be more productive, while delivering high quality care to patients in their homes.

AI Engineer

Responsibilities

Design, develop, and optimize AI/ML pipelines for NLP, voice models, and LLM-based workflows.
Fine-tune and integrate Large Language Models (LLMs) for domain-specific use cases.
Train custom models on proprietary datasets and optimize them for production use.
Work with
voice/speech models
(ASR, transcription, embeddings).
Implement scalable
RAG pipelines
, including chunking strategies and retrieval systems using vector databases.
Prepare, clean, and manage datasets for training and evaluation.
Work with AWS cloud infrastructure for deploying and scaling AI solutions.
Collaborate with product and engineering teams to build AI-driven features.
Ensure compliance with data privacy and security standards.
Research and implement state-of-the-art AI/ML techniques.

Required Skills & Experience

Programming:
Strong proficiency in
Python
(4–6 years professional experience).
AI/ML:
Expertise in
LLM fine-tuning
,
voice/speech models
,
RAG implementations with chunking
,
dataset preparation & cleaning
,
embedding models
,
vector databases
(Pinecone, Weaviate, FAISS, etc.).
Frameworks:
Experience with
PyTorch
or
TensorFlow
, LangChain / LlamaIndex (or similar).
Cloud:
Hands-on with
AWS services
(SageMaker, Lambda, EC2, S3, API Gateway).
Databases:
Proficiency with relational and NoSQL databases.
MLOps:
Model deployment, monitoring, and optimization in production environments.
Best Practices:
Strong understanding of software engineering (Git, CI/CD, testing, scaling).

Preferred Skills (Good to Have)

Knowledge of
healthcare standards
(EHR/EMR workflows, structured assessments).
Experience with
data privacy & security
in regulated industries.
Familiarity with
prompt engineering
and
instruction tuning
.
Prior experience in
healthtech AI products
.

Qualifications

Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.
5–6 years of relevant industry experience, with a focus on NLP, speech/voice AI, and LLM solutions.

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