Artificial Intelligence Engineer

3 days ago

Ahmedabad, Gujarat, India Budventure Technologies Pvt. Ltd. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description

Position:
AI Engineer

Location:
Ahmedabad

Employment Type:
Full-time

We are seeking a highly skilled
AI Engineer
with strong expertise in building, fine-tuning, and deploying advanced AI/ML solutions. The ideal candidate will have hands-on experience with
LLMs, NLP, and RAG systems
, and a proven track record of implementing scalable AI applications on cloud platforms.

Key Skills:

  • Design, develop, and optimize
    AI/ML models
    with a primary focus on
    NLP and LLM applications
    .
  • Fine-tune large language models (LLMs) and design effective
    prompt engineering strategies
    .
  • Build and deploy
    Retrieval-Augmented Generation (RAG)
    systems using vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
  • Leverage frameworks such as
    Hugging Face Transformers, LangChain, and LlamaIndex
    for advanced AI solutions.
  • Collaborate with cross-functional teams to integrate AI models into business applications.
  • Deploy and manage AI workloads efficiently on
    AWS, Azure, or GCP
    .
  • Utilize
    Docker and Kubernetes
    for containerized deployment of AI services.
  • Explore and implement AI models for
    multilingual NLP
    , with an emphasis on
    Indic languages
    .
  • (Preferred) Apply AI techniques in
    healthcare and medical domains
    for domain-specific solutions.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in
    Computer Science, Artificial Intelligence, Data Science, or related fields
    .
  • 3–5 years
    of proven experience in AI/ML development, specifically in
    NLP and LLMs
    .
  • Expertise in:
  • Transformers (Hugging Face, LangChain, LlamaIndex)
  • LLM fine-tuning & prompt engineering
  • RAG architectures & vector databases
    (Pinecone, Weaviate, FAISS, Milvus)
  • Proficiency in
    Python
    , with experience in
    PyTorch and/or TensorFlow
    .
  • Strong background in
    cloud-based AI deployment
    (AWS, Azure, GCP).
  • Experience in
    containerization & orchestration tools
    (Docker, Kubernetes).
  • Familiarity with
    multi-language NLP
    , with exposure to Indic languages preferred.
  • Knowledge of
    medical AI models
    will be considered an added advantage.

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