Job Description
About the Role Our client is looking for a highly skilled Generative AI Engineer (5+ years) with strong expertise in LLM development, RAG architectures, vector databases, and scalable AI systems. You will play a key role in building, optimizing, and deploying enterprise-grade AI solutions across diverse business use cases.
This role is ideal for someone who has hands-on experience developing real-world AI applications and is ready to take ownership of end-to-end AI pipelines, model performance, and technical decision-making.
Key Responsibilities Design, architect, and develop advanced Generative AI and LLM-powered applications (chatbots, copilots, agents, workflow automation, synthetic data systems, etc.).
Build and optimize RAG pipelines including embeddings, chunking strategies, vector search, and ranking layers.
Implement vector search systems using Pinecone, Weaviate, FAISS, Qdrant, or Chroma.
Develop and integrate LLM models into production systems using Python (Fas...
This role is ideal for someone who has hands-on experience developing real-world AI applications and is ready to take ownership of end-to-end AI pipelines, model performance, and technical decision-making.
Key Responsibilities Design, architect, and develop advanced Generative AI and LLM-powered applications (chatbots, copilots, agents, workflow automation, synthetic data systems, etc.).
Build and optimize RAG pipelines including embeddings, chunking strategies, vector search, and ranking layers.
Implement vector search systems using Pinecone, Weaviate, FAISS, Qdrant, or Chroma.
Develop and integrate LLM models into production systems using Python (Fas...
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