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Job Title:

AI Agent Engineer – Long-Term Memory Systems

Recruiter Name:

Mark Hurren

Job Title:

AI Agent Engineer – Long-Term Memory Systems

Job Type:

Permanent

Job Location:

London

Date Posted:

23/06/2025

Salary Range:

£65000 – £95000 + Equity

Experience:

AI Agent Engineer – Long-Term Memory Systems

Location: London, UK (Hybrid)

Company: Stealth AI Agent Startup (Seed – $12M)

Join a cutting-edge AI startup that emerged from stealth mode in late 2024 with breakthrough technology in persistent memory AI systems. Founded by former e-commerce platform and foundation model engineers with substantial seed funding, we’re revolutionizing human-AI interaction through agents capable of retaining context across extended periods. As traditional AI systems struggle with memory limitations and personalization, our approach enables truly intelligent assistants that evolve with users over time. Currently in beta launch with our flagship product, we’re positioned to transform personal AI through memory-enabled agents that remember, learn, and improve continuously.

What You’ll Do:

  • Develop AI agents with advanced long-term memory capabilities
  • Build systems for persistent context retention and personalized learning
  • Create APIs for seamless integration with productivity and lifestyle applications
  • Research novel approaches to memory-augmented language models
  • Design user interfaces for intuitive AI agent interaction and control

Requirements:

  • MSc/PhD in Computer Science, AI, or related field
  • 3+ years experience with large language models and agent-based systems
  • Strong background in memory networks, retrieval-augmented generation, or similar
  • Proficiency in Python, PyTorch, and modern ML frameworks
  • Experience with vector databases and embedding techniques

What We Offer:

  • £65k-£95k + significant equity in a breakthrough AI startup
  • Work with experienced founders from leading tech companies
  • Ground-floor opportunity to define the future of personalized AI agents
  • Access to substantial compute resources and cutting-edge research