Artificial Intelligence Engineering Lead

9 hours ago


London, Greater London, United Kingdom Opus Recruitment Solutions Full time
Job Title: Artificial Intelligence Engineering Lead

We are seeking a highly skilled Artificial Intelligence Engineering Lead to join our team at Opus Recruitment Solutions.

This role is ideal for someone with strong proficiency in Python backend development and experience making architectural decisions in AI startups.

The estimated salary for this position is $180,000 per annum.

About the Role:
  • Develop and maintain robust backend systems using Python and FastAPI.
  • Lead our development projects, mentoring more junior developments and making key development decisions.
  • Integrate state-of-the-art AI solutions and technologies.
  • Lead the design and implementation of serverless architectures and distributed queue systems.
  • Develop ETL processes for document processing and data manipulation.
About Us:

Opus Recruitment Solutions is an innovative company at the forefront of cutting-edge AI systems. We are passionate about pushing boundaries and breaking old borders.

We are seeking a talented Artificial Intelligence Engineering Lead with a focus on AI and Large Language Models (LLMs).

The ideal candidate will be a true leader with a passion for emerging technologies and a track record of leading and delivering high-quality projects and highly scalable solutions in an intense dynamic environment.

Key Responsibilities:
  • Develop and maintain robust backend systems using Python and FastAPI.
  • Lead our development projects, mentoring more junior developments and making key development decisions.
  • Integrating state-of-the-art AI solutions and technologies.
  • Lead the design and implementation of serverless architectures and distributed queue systems.
  • Develop ETL processes for document processing and data manipulation.
Required Skills and Experience:
  • Strong proficiency in Python backend development and a track record of producing Python development in a startup environment.
  • Experience making architectural decisions in AI startups.
  • Strong experience with Python ASGI frameworks.
  • In-depth knowledge of AI and LLM technologies.
  • Use of serverless architectures.
  • ETL processes and document processing.


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