AI Engineer - Everest

we’re looking for great people, who love their work, solving problems, and having fun. Become a founder. Start building. For the bold and daring. Begin your journey. Join infinity constellation. Disrupt the status quo. Become a founder. Start building. For the bold & daring. Join infinity constellation. Disrupt the status quo. Become a founder. Start building. Apply today. Ai-powered. For visionaries.

The future. Join. Infinity constellation. Become a founder. Unstoppable. Begin your journey. Start building. Disrupt the status quo. Let’s connect.

united states

full time

remote

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 ’re collaborative, supportive, and focused on sustainable excellence.

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

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.

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.

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.

meaningful equity

medical, dental, vision healthcare benefits

flexible pto policy, 401k, disability insurance, etc.