Senior AI & Machine Learning Engineer

Webigo AI; United States; Remote; USD 150,000 - 195,000; Full time

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

Role overview

Drive the architectural evolution of an autonomous agent platform, leading work on large language model orchestration, multi-tenant vector memory, and real-time scheduling systems at scale. This is a senior, remote individual-contributor role for an engineer who can take production AI systems from design through benchmarking and ship.

Responsibilities

• Architect low-latency agentic loops that combine frontier LLMs, function calling, and structured outputs
• Design resilient context-caching strategies and sub-tenant memory indexing for multi-tenant workloads
• Partner with frontend engineers to deliver sub-second streaming generative UI experiences
• Benchmark model accuracy, safety guardrails, and response latency across thousands of concurrent tenant interactions
• Own the reliability and cost profile of production AI services end to end

Requirements

• 5+ years of professional engineering experience, including production AI systems
• Deep expertise in Python and TypeScript
• Hands-on experience with LLM orchestration frameworks such as LangChain or LlamaIndex
• Strong background in vector databases (for example Pinecone, pgvector, or Qdrant) and retrieval-augmented generation
• Track record of shipping AI systems with high reliability and cost optimization
• Excellent asynchronous communication skills suited to remote-first teams

Benefits and work setup

• 100% remote role open globally across EMEA and the Americas
• Home office stipend
• Comprehensive medical, dental, and vision coverage
• Annual $3,000 allowance for continuous learning and conferences
• Unlimited paid time off with a mandatory 3-week minimum
• Compensation range of $150,000–$195,000 plus token and equity grants