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Senior Software Engineer - Gen AI

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Software Engineer
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152843 Requisition #

Gen AI Integration Engineer

Experience:

  • Overall 5+ years of industry experience with at least the last 1+ years of extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks.
  • Excellent programming skills and proficiency in at least one of the major programming/scripting languages used in GenAI orchestration, such as Python, PySpark, or Java.
  • Ability to build API-based scalable solutions and debug & troubleshoot software or design issues.
  • Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints.
  • Thorough understanding of prompt engineering and implementation exposure to LLM agents like LangChain and vector databases (Pinecone, Chroma, or FAISS).
  • Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into the market.
  • Basic data engineering skills to load structured and unstructured data from source systems to target data stores.
  • Work closely with GenAI leads and other team members to address requirements from the product backlog.
  • Build and maintain data pipelines and infrastructure to support AI solutions.

Qualifications:

  • Hands-on exposure to using cloud (Azure, GCP, or AWS) services for storage, serverless logic, search, transcription, and chat.
  • Extensive experience with data engineering and ETL tools is a big plus.
  • Master’s/bachelor’s degree in computer science, Statistics, or Mathematics.

Gen AI Integration Engineer

Experience:

  • Overall 5+ years of industry experience with at least the last 1+ years of extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks.
  • Excellent programming skills and proficiency in at least one of the major programming/scripting languages used in GenAI orchestration, such as Python, PySpark, or Java.
  • Ability to build API-based scalable solutions and debug & troubleshoot software or design issues.
  • Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints.
  • Thorough understanding of prompt engineering and implementation exposure to LLM agents like LangChain and vector databases (Pinecone, Chroma, or FAISS).
  • Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into the market.
  • Basic data engineering skills to load structured and unstructured data from source systems to target data stores.
  • Work closely with GenAI leads and other team members to address requirements from the product backlog.
  • Build and maintain data pipelines and infrastructure to support AI solutions.

Qualifications:

  • Hands-on exposure to using cloud (Azure, GCP, or AWS) services for storage, serverless logic, search, transcription, and chat.
  • Extensive experience with data engineering and ETL tools is a big plus.
  • Master’s/bachelor’s degree in computer science, Statistics, or Mathematics.

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