Hybrid Senior AI Data Engineer

Posted last week

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About the role

  • Senior AI Data Engineer responsible for developing AI data architecture and integrating AI solutions into Teamified Platform. Collaborating with product experts and software architects for cutting-edge technology implementation.

Responsibilities

  • Design and develop our Teamified AI data architecture & API using Python (Django Framework) and other relevant python libraries
  • Manage our RDBMs [SQL], NoSQL [MongoDb] and Vector [Pinecone] databases and conduct proper data governance & research
  • Collaborate with our leadership, product experts and software architect to integrate AI solutions into our Teamified Platform
  • Optimize AI augmentation models, context builders and prompt builders for performance, scalability, and efficiency.
  • Conduct research and stay up-to-date on the latest advancements in AI and data engineering.

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 3+ years of experience in AI data engineering.
  • Proficiency in Python and Django Framework and other relevant tools and technologies.
  • Good-to-have skills: RAG Orchestration Pipelines, LangChain, Vector Databases, PineCone,
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Benefits

  • Flexibility in work hours and location, with a focus on managing energy rather than time.
  • Access to online learning platforms and a budget for professional development
  • A collaborative, no-silos environment, encouraging learning and growth across teams
  • A dynamic social culture with team lunches, social events, and opportunities for creative input
  • Health insurance
  • Leave Benefits

Job title

Senior AI Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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