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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Cura Label Technologies

    United States
    4+ years
    Today
    ₹25–37 LPA
    Full-time
    Remote

    Skills Required

    RAG
    Vector Database
    LLM
    OpenAI
    Anthropic
    Hugging Face
    LangChain
    LlamaIndex
    Python
    PyTorch
    NumPy
    Pandas
    Pinecone
    Weaviate
    pgvector

    Description

    We're looking for a Senior AI Engineer to join our team and build the systems powering our generative AI and applied ML products.

    Company: Cura Label Technologies

    Role: Senior AI Engineer

    Location: Remote

    Experience:

    • 4+ years of professional software engineering experience
    • 2+ years focused specifically on applied AI/ML in production

    Key Skills:

    • RAG systems
    • vector databases (Pinecone, Weaviate, Milvus, pgvector)
    • LLM APIs (OpenAI, Anthropic, Cohere)
    • open-source model frameworks (Hugging Face, LangChain, LlamaIndex)
    • Python
    • ML/data tooling (PyTorch, NumPy, pandas)
    • embedding models
    • semantic search
    • evaluation metrics for generative AI quality

    Qualification:

    • Hands-on experience building RAG systems end-to-end
    • Practical experience with vector databases
    • Experience working with LLM APIs and open-source model frameworks
    • Strong Python skills
    • Understanding of embedding models, semantic search, and evaluation metrics

    Role Focus:

    • Design and build retrieval-augmented generation (RAG) pipelines
    • Architect and optimize vector database infrastructure
    • Fine-tune, evaluate, and deploy LLMs
    • Build and maintain data pipelines
    • Integrate generative AI features into production applications
    • Monitor model performance, latency, and cost
    • Collaborate with product and engineering teams

    Nice to have:

    • Experience fine-tuning open-source LLMs
    • Familiarity with model evaluation frameworks and LLM-as-judge methodologies
    • Experience with agentic AI architectures and tool-use/function-calling systems
    • Background in MLOps
    • Experience with multi-modal models
    • Contributions to open-source AI/ML projects

    Other:

    • Type: Full-time
    • Compensation: $30/h - $45/h

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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