AI Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or related field., At least 3 years of experience in AI data engineering., Proficiency in Python and relevant AI data tools like PineCone and LangChain., Strong problem-solving, communication, and teamwork skills..

Key responsibilities:

  • Design and develop AI data architecture and APIs using Python and Django.
  • Manage and govern databases including SQL, NoSQL, and vector databases.
  • Collaborate with leadership and engineering teams to integrate AI solutions.
  • Optimize AI models and stay updated on AI advancements.

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Job description

Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people.

We are seeking a talented and experienced Senior AI Data Engineer to join our dynamic team. As a Senior AI Data Engineer, you will be responsible for designing, developing, and implementing AI solutions to enhance our products and services. You will work closely with our principal software engineer and platform software engineers to create cutting-edge AI models and algorithms.

Key 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, RAG Orchestration Pipelines, LangChain, Vector Databases, PineCone, and other relevant tools and technologies.

- 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

If you are passionate about AI and data engineering and have the skills and experience we are looking for, we would love to hear from you. Join Teamified and be part of a team that is dedicated to innovation and excellence. Apply now!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Teamwork
  • Communication
  • Problem Solving

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