חברות הייטק בישראלDeloitteGenAI Engineer- R&D and Innovation Center

GenAI Engineer- R&D and Innovation Center

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Deloitte· Business Consulting and Services
Tel-Aviv District, IsraelFULL_TIME

כישורים מהמשרה

PythonPySparkLangchainLlamaIndexRAGChromaDBQDrantWeaviateNeo4jKnowledge GraphsAWS BedrockGCP VertexAzure OpenAIGitDockerSQL

תיאור המשרה

We are seeking a talented GenAI Enigneer with a strong background in Large Language Models (LLM) This is a unique opportunity to work with Deloitte US clients and engage in global projects, leveraging your extensive skills in generative AI tools. As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will: Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications. Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization. Stay updated with AI protocols and standards and ensure their correct application in projects. Collaborate with other teams and team members to understand requirements and develop solutions. Analyze complex problems, identify and define the computational requirements to solve them. Requirements: Minimum of 5 years of experience as a Back End developer. Deep knowledge of Generative AI principles, including Large Language Models (LLMs) and RAG techniques and, modern deployment architectures. Ability to lead team to design services, modules, APIs, and folder structures that enable REST API communication and facilitate a plug-and-play approach for various agent pods (compatible with langgraph, pydanticAI, etc.) Practical Implementation: Hands-on experience in implementing and integrating new ideas and tools within the GenAI landscape. Programming and Tools: Proficiency with Python, PySpark, Langchain, LlamaIndex, RAG, ChromaDB, QDrant, Weaviate, Neo4j, Knowledge Graphs, AWS Bedrock, GCP Vertex, Azure OpenAI, Git/GitHub, Docker, SQL, FastAPI, PyTorch/TensorFlow, and Pydantic. Cloud Platforms: Experience with managed cloud services provided by hyperscalers such as AWS, Azure, or GCP. Excellent problem-solving and analytical skills. • Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field. Advanced level of English. Working Israeli permit- a must B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc- an advantage Full time Job Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.
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על Deloitte

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more. The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

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