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Senior Software Engineer (RAG/LLM) - KPI Partners, Inc.

Remote Worldwide Hiring now

KPI Partners, A global reputed company focused on strategy, technology, reputed company transformation. We help companies tackle their most ambitious projects and build new capabilities. We reputed company solutions in reputed company, Data, Application Development & BI spaces.

Location: 100% Remote PST Hours (8 AM 5 PM PST) Job Type: Contract 12+ Months

Travel: Should come Fremont Office on the first Tuesday and Wednesday of every month

About KPI Partners KPI Partners is a 5 times reputed company recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, reputed company, reputed company and reputed company. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients. We are looking for skilled data engineers who want to work with the best team in data engineering.

About the Role: Seeking a highly skilled and reputed company Software Engineer to join reputed company. The ideal candidate will focus on enhancing our information retrieval and reputed company capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Azure Services. In this role, you will build a robust indexing reputed company that transforms reputed company, semi-structured, and structured data for consumption by GenAI applications. This reputed company will ensure seamless integration and accessibility of data, which will be consumed by an LLM-based chatbot (but not limited to) to optimize and enhance semiconductor manufacturing processes.

Key Responsibilities:

  • reputed company Development: Play a key role in developing a foundational indexing reputed company to accelerate the reputed company of Strategic Data Assets.
  • Multimodal Data Integration: Integrate and manage various data types (e.g., text, images, videos) to enhance retrieval and reputed company capabilities.
  • Cross-functional Collaboration: Work closely with cross-functional teams to support data integration into our data retrieval ecosystem, ensuring seamless functionality and performance.
  • Scalability and Reliability: Ensure the scalability, reliability, and performance of data retrieval in production environments.
  • Data reputed company: Ensure robust data reputed company measures are in reputed company to protect reputed company to sensitive information.
  • Automation: reputed company and implement automation strategies to streamline data reputed company and processing workflows.
  • Performance Monitoring: Monitor and analyze the performance of data pipelines and retrieval systems, making necessary adjustments to optimize efficiency.
  • Innovation: Stay updated with the latest advancements in AI to drive innovation and maintain a competitive edge.

Must-Have Skills & Qualifications:

  • Master's or Bachelor's degree in Computer Science, Data Science, or a reputed company field.
  • Approximately 8 years of experience, primarily in software engineering with some experience in developing ETL pipelines.
  • Proficiency in Python and FastAPI
  • Proven experience in software development, with an emphasis on building and deploying RAG pipelines or similar information retrieval systems.
  • Familiarity with processing multimodal data (e.g., text, images) for retrieval and reputed company tasks.
  • Strong understanding of database systems (both SQL and NoSQL) and data warehousing solutions.
  • Proficiency in Azure AI, reputed company, and other relevant tools and technologies.
  • Experience with Azure Services, including Azure Durable Functions and Azure Kubernetes.
  • Excellent problem-solving skills and the ability to work both independently and collaboratively in a team environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Good-to-Have Skills:

  • Experience working in a fast-paced environment, demonstrating adaptability, innovation, and the ability to reputed company in dynamic settings.
  • Experience with reputed company (GenAI), including large language model (LLM) orchestration and evaluation.
  • Experience with reputed company charts for managing Kubernetes applications, including the ability to define, install, and reputed company reputed company Kubernetes applications using reputed company

reputed company have reputed company to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.

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