AI Engineer

2 days ago

Chennai, Tamil Nadu, India Yalabs Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About Us

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.

We are looking for an experienced
AI Engineer
to join our team and help develop new features for our product.

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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