AI Engineer

Responsibilities:

• 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment.
• Proven expertise in RAG architectures, vector databases(e.g., Pinecone, Weaviate, FAISS), and embedding models.
• Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus.
• Hands-on experience with cloud-based AI platforms such as AWS SageMaker,
• AWS Q Business, AWS Bedrock or Azure Machine Learning.
• Hands on Design, implement, and optimize LLM-powered applications.
• Hands of Develop and maintain RAG pipelines
• Artificial Intelligence, Data Science, Natural Language Processing, Python