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About Position:
We are seeking a talented AI/ML Engineer - Generative AI with expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and Python Development. The ideal candidate will be responsible for designing, developing, and deploying AI-powered applications, intelligent assistants, and enterprise-grade GenAI solutions. This requires hands-on experience in building production AI systems, integrating enterprise data sources, and implementing scalable AI workflows that drive business value and operational efficiency.
What You'll Do:
Expertise You'll Bring:
Benefits:
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
Let's unleash your full potential at Persistent - persistent.com/careers
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Job ID: 153693239
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Tensorflow, Python, Java, Azure Cloud Services, Context engineering, Prompt engineering, Embedding, Azure OpenAI, LangGraph, A2A, Agno, Spring AI, Pydantic, Real-time data integration, Azure AI Search, AI application development, LangChain, Deployment and optimization, Vector databases, Functional Calling, Chunking strategies, Agentic RAG, MCP, Cloud-based AI model integration, LlamaIndex
Skills:
Tensorflow, Machine Learning, Pytorch, Docker, Python, Kubernetes, AWS, AI Systems, Hugging Face
Skills:
Tensorflow, Pandas, Pytorch, Sql, Python, scikit-learn
Skills:
Pyspark, Sql, Pandas, Gcp, Azure, Python, AWS, Airflow, CI CD Automation, Cloud-based AI ML Platforms, Data Pipelines, ETL ELT Workflows, MLflow, Scikit-Learn, Machine Learning Model Deployment, VADER Sentiment, Dataiku, Vertex AI, Kubeflow, MLOps Practices
Skills:
Artificial Intelligence, Machine Learning, Core Python, Python, Generative AI, Large Language Models, Llm, Generative AI Applications, RAG, Retrieval-Augmented Generation