Senior AI/ML Engineer - LLM Orchestration & Real-Time AI

Webigo AI

United States

Remote

USD 150,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Home office stipend
Comprehensive medical, dental, and vis
Annual learning allowance
Unlimited PTO with 3 weeks minimum
Equity grants

Job summary

Webigo AI is seeking a senior principal engineer to drive the architectural evolution of an autonomous agent platform. You will own end-to-end production AI systems, from design through benchmarking to ship, focusing on LLM orchestration, multi-tenant vector memory, and real-time scheduling.

The role is 100% remote, globally open, with a home office stipend and an annual learning allowance. Strong collaboration with frontend teams will ensure sub-second streaming experiences and scalable

Qualifications

  • 5+ years of professional engineering experience in production AI systems.
  • Strong Python/TypeScript coding skills and production-grade software practices.
  • Hands-on experience with LLM orchestration frameworks.

Responsibilities

  • Architect low-latency agent loops integrating LLMs, function calling, and structured outputs.
  • Design multi-tenant vector memory and caching for scalable workloads.
  • Collaborate with frontend engineers to deliver sub-second streaming UI experiences.
  • Benchmark model accuracy, safety guardrails, and latency across thousands of tenants.
  • Own reliability and cost profile of production AI services end-to-end.

Tools

Python
TypeScript
LangChain
LlamaIndex
Pinecone
pgvector
Qdrant

Job description

Webigo AI is seeking a senior principal engineer to drive the architectural evolution of an autonomous agent platform. You will own end-to-end production AI systems, from design through benchmarking to ship, focusing on LLM orchestration, multi-tenant vector memory, and real-time scheduling.

The role is 100% remote, globally open, with a home office stipend and an annual learning allowance. Strong collaboration with frontend teams will ensure sub-second streaming experiences and scalable

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