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Generative AI Solutions Specialist
2 weeks ago
Key Responsibilities:
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- Develop and integrate large language models (LLMs) into enterprise applications, utilizing techniques such as prompt engineering, embeddings, and retrieval-augmented generation pipelines.","
- Implement agentic AI applications using Langgraph and similar frameworks, ensuring a deep understanding of the underlying technology.","
- Build and maintain APIs, microservices, and front-end/back-end integrations for generative AI applications, leveraging expertise in Python and relevant libraries.","
- Collaborate with vector databases to enable semantic search, deploying solutions on cloud AI platforms such as Azure OpenAI, AWS Bedrock, and GCP Vertex AI.","
- Optimize model performance, latency, and scalability for real-world usage, adhering to responsible AI, data privacy, and security guidelines.","
Required Skills:
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- Strong programming skills in Python, with experience in APIs, microservices, Flask, FastAPI, and Django.","
- Hands-on experience with Azure Databricks, Apache Spark, and vector embeddings.","
- Familiarity with orchestration frameworks such as LangChain, LlamaIndex, and Docker, Kubernetes, and MLOps practices.","
- Experience working with cloud-based AI services, strong problem-solving, and debugging skills, good knowledge of PyTorch, TensorFlow, and Hugging Face Transformers.","