Senior AI & Machine Learning Engineer

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