AI Engineer-Memory Retrieval

• Build specialized agents within multi-agent pipelines designed for handling complex research problems, developing durable outputs, and taking action in external systems on the user's behalf
• Build retrieval systems that find relevant prior conversations and extracted facts across a user's history
• Design embedding and indexing strategies for conversation-derived content
• Build and optimize relevance ranking for memory retrieval
• Build LLM-based memory capabilities: conversation summarization, cross-session context retrieval, and persistent user preference extraction
• Instrument pipelines for observability, tracing, and quality monitoring
• Collaborate with evaluation engineers on quality measurement and improvement

• 3+ years of experience building production Python systems
• Experience with LLM applications: agent orchestration, prompt engineering, RAG, or similar
• Hands-on experience with agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, or similar)
• Understanding of LLM reasoning patterns and common failure modes
• Proficiency with modern Python web frameworks
• Comfort working in a fast-moving team where priorities evolve

• 15 vacation days per year (increases with tenure; carryover allowed)
• 10 paid sick days per year
• 1 week paid new parenting leave
• Flexible work options (remote, part-time, flexible hours)
• Health, dental, vision, and paramedical coverage for you and your family
• $1,600 annual healthcare spending account
• Employee Assistance Program for counseling and support
• Best Doctors medical second opinions
• Life, AD&D, and long-term disability insurance
• Retirement savings plan with company match (up to 4% of salary)
• $75/month technology allowance for home office or phone expenses
• Company-paid cell phone plan

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