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AI Engineer - GenAI

Salary undisclosed

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Company:

Join a pioneering global investment firm leveraging cutting-edge machine learning, predictive inference, and LLMs to transform investment strategies. With a focus on expanding agentic processes, my client are seeking a passionate AI Engineer to lead the charge in advancing our Generative AI capabilities.

Key Responsibilities:

  • Drive the adoption and development of Generative AI technologies across the organization
  • Work closely with a renowned team led by an industry figure who advises the world’s top AI firms
  • Build and deploy intelligent agentic systems and advanced ML/LLM solutions for real-world investment use cases
  • Collaborate with researchers, engineers, and quants in a fast-paced, high-impact environment

Key Requirements:

  • Strong experience in developing and deploying Generative AI systems
  • Hands-on expertise with LLM frameworks, agent-based architectures, and ML infrastructure
  • Strong background in engineering
  • Computer Science, Data Science, Statistics or similar MSc from a top 50 global university
  • A collaborative mindset with the ability to work across disciplines

Company:

Join a pioneering global investment firm leveraging cutting-edge machine learning, predictive inference, and LLMs to transform investment strategies. With a focus on expanding agentic processes, my client are seeking a passionate AI Engineer to lead the charge in advancing our Generative AI capabilities.

Key Responsibilities:

  • Drive the adoption and development of Generative AI technologies across the organization
  • Work closely with a renowned team led by an industry figure who advises the world’s top AI firms
  • Build and deploy intelligent agentic systems and advanced ML/LLM solutions for real-world investment use cases
  • Collaborate with researchers, engineers, and quants in a fast-paced, high-impact environment

Key Requirements:

  • Strong experience in developing and deploying Generative AI systems
  • Hands-on expertise with LLM frameworks, agent-based architectures, and ML infrastructure
  • Strong background in engineering
  • Computer Science, Data Science, Statistics or similar MSc from a top 50 global university
  • A collaborative mindset with the ability to work across disciplines