We are looking for a highly skilled Senior AI Engineer with hands-on experience in building and deploying AI/ML solutions using Large Language Models (LLMs). The ideal candidate will have strong expertise in Python, distributed data processing (PySpark), and modern AI frameworks, with a proven ability to design scalable and production-grade AI systems.
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5+ years of experience in AI/ML Engineering or Data Science
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Strong programming expertise in Python
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Hands-on experience with LLMs (GPT, LLaMA, Mistral, etc.)
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Experience with PySpark for large-scale data processing
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Solid understanding of NLP concepts and transformer architectures
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Experience with:
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LangChain / LlamaIndex
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Vector databases (FAISS, Pinecone, Weaviate)
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REST APIs / FastAPI
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Knowledge of model deployment (Docker, Kubernetes, APIs)
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Design, develop, and deploy AI/ML models with a focus on LLMs (GPT, LLaMA, etc.)
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Build and optimize LLM-based applications such as chatbots, summarization, and semantic search systems
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Work with large-scale datasets using PySpark for data processing and feature engineering
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Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases
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Fine-tune and evaluate LLMs using frameworks like Hugging Face / OpenAI APIs
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Develop scalable backend services using Python (FastAPI/Flask)
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Collaborate with data engineers and product teams to deliver end-to-end AI solutions
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Ensure model performance, monitoring, and continuous improvement in production
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Stay updated with the latest advancements in Generative AI and LLM ecosystems
