Gen AI Developer
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Role details
Tech stack
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Job description
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Build and integrate solutions using Python, APIs, vector databases, and embedding models. \n
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Work with frameworks such as LangChain, LlamaIndex, or Semantic Kernel. \n
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Integrate models from platforms such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI. \n
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Evaluate and optimize LLM solutions for accuracy, latency, scalability, security, and cost. \n
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Collaborate with engineering and business teams to move GenAI use cases from POC to production. \n
Requirements
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Strong understanding of RAG, embeddings, vector search, prompt engineering, and AI agents. \n
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Experience with cloud platforms and REST APIs. \n
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Exposure to LLMOps/MLOps, model evaluation, and responsible AI is preferred. \n
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