AI Systems Engineer

Responsibilities

• Develop multi‑step LLM agents capable of:
  • Retrieval from vector databases
  • Structured reasoning over data
  • Implement production‑grade RAG pipelines over structured and unstructured data
• Build Tool‑Oriented LLM Interfaces
  • Integrate LLMs with external APIs and simulation engines
  • Design safe and deterministic tool invocation frameworks
• Develop Research‑Oriented AI Agents
  • Create domain‑specific agents capable of:
    • Multi‑hop reasoning
    • Data synthesis across heterogeneous sources
    • Accuracy and context relevance
  • Tune prompts and reasoning strategies
  • Balance performance, cost, and latency
• Work Across the Platform Stack
  • Collaborate with backend, data, and infrastructure engineers
  • Translate real‑world use cases into robust AI workflows
  • Contribut...