AI Engineer - Everest at Infinity Constellation in Remote

About Everest Everest is reshaping how elite executive assistance is delivered to founders, entrepreneurs, executives, and high-net-worth individuals. Our clients expect exceptional service: proactive, strategic, discreet, and seamless. We operate with the adaptability of a high-performing technology organization: iterating quickly, learning from feedback, and improving our systems at speed. We’re collaborative, supportive, and focused on sustainable excellence. Core Responsibilities • Design and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines. • Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems. • Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images). • Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines. • Collaborate with stakeholders to pressure-test workflows in the real world. • Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well. • Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j • Integrate and orchestrate LLM calls for document processing workflows What We're Looking For • 5+ years of experience in backend software engineering, preferably in Go or similar systems languages. • Shipped agentic LLM systems to production (not prototypes, not demos). • Built real-time systems, distributed async queues, or performance-critical services. • Deep understanding of prompt engineering, token budgeting, and context management. • Strong intuition for when to use AI—and when not to. • Thrive in small teams with high trust and high ownership. Bonus Points • Experience with RAG, embedding stores, and vector DBs. • Experience designing evals for AI agents and workflows • Familiarity with tool orchestration frameworks. • Understanding of the architectural tradeoffs of agentic systems, RAG, MCP, memory, and orchestrations. • Know how to work with (and around) the limitations of cutting-edge LLM technologies. • Background in AI safety, observability, or human-in-the-loop workflows. • Prefer building systems that are simple, scalable, and "good enough," without sacrificing maintainability or future flexibility. • Are fluent in small-team dynamics: high trust, low ego, shared accountability. Why Join Everest • Build the operating system for a category-defining company: Everest is redefining what tech-enabled executive assistance looks like—high-touch, high-taste, deeply strategic. You'll shape how we deliver that at scale. • Work with exceptional talent: Our team includes founders, senior engineers, and strong functional leads. • Founder-led, data-driven culture: We are builders who move fast, value judgment and systems thinking, and give real authority to people who earn it. Compensation & Benefits • Competitive salary • Meaningful equity • Medical, dental, vision healthcare benefits • Flexible PTO policy, 401k, disability insurance, etc. • Remote-first culture