Artificial Intelligence Engineer

Position:

Location:

Employment Type:

AI Engineer

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.