Onsite
Job Description:
Primary Skills
Strong programming skills in Python
Experience with LLMs, prompt engineering, and embeddings
Hands-on experience with RAG architectures
Familiarity with vector stores and semantic search
Understanding of NLP concepts and model evaluation techniques
Secondary Skills
Experience with cloud platforms (AWS)
Knowledge of MLOps and model deployment pipelines
Exposure to fine-tuning or open-source LLMs
Key Responsibilities:
Design and implement GenAI solutions using LLMs (e.g., OpenAI, open-source models)
Build and optimize RAG (Retrieval-Augmented Generation) pipelines
Develop applications using frameworks like LangChain or similar orchestration tools
Work with vector databases for semantic search and retrieval
Fine-tune prompts and improve model performance through evaluation and iteration
Integrate AI solutions into production systems via APIs and cloud platforms
Ensure scalability, security, and responsible AI practices
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