Principal Engineer, Agentic Engineering

Bullish•New York, NY

About The Position

CoinDesk is the most trusted media, events, indices and data company for the global crypto economy. Since 2013, CoinDesk Media has led the story of the future of money and investing, illuminating the transformation in society and culture that comes with it. Our award-winning team of journalists delivers news and unparalleled insights that bring transparency, comprehension and context. CoinDesk Events gathers the global crypto, blockchain and Web3 communities at annual events such as Consensus, the world’s largest and longest-running crypto festival. CoinDesk Indices offers expertise in digital asset indices, data and research to educate and empower investors. For more information on CoinDesk media and events, please visit http://coindesk.com [coindesk.com] and for breaking headlines, data and indices visit http://coindeskmarkets.com [coindeskmarkets.com] In November 2023, CoinDesk was acquired by the Bullish group, owner of Bullish, a regulated, digital assets exchange. For more information on Bullish, please visit https://bullish.com . CoinDesk operates as an independent subsidiary with an editorial committee to protect journalistic independence.

Requirements

8+ years of engineering experience, including significant recent work with LLM and agent systems
Hands-on experience building with LLM APIs (Anthropic, OpenAI, Google) and agent frameworks (LangChain, LlamaIndex, or similar)
Direct experience designing and building agentic workflows or multi-agent systems — not just using copilots, but building the infrastructure behind them
Mastery of backend development, distributed systems, and Python
Strong LLMOps skills: CI/CD for AI systems, production observability, cost attribution, and spend control
Experience deploying AI coding agents or developer tools to engineering teams
Ability to influence technical direction across an organisation and build consensus for architectural decisions

Nice To Haves

Experience in digital assets, blockchain, or traditional financial services
Experience fine-tuning and deploying open-source LLMs in production
Experience with data privacy and security compliance in a regulated environment

Responsibilities

Build the agent infrastructure that lets AI agents discover each other, communicate, and coordinate — so any team can deploy an agent and it joins the ecosystem
Evolve our autonomous coding pipeline — task in, pull request out, with deterministic multi-agent execution, full cost control, and human review before merge
Make engineering standards executable — encoding conventions as AI behaviours that activate in developer workflows, not documents pinned to a wiki
Transform the delivery pipeline — auditing every manual gate and either automating it, replacing it with an agent, or justifying its retention as a deliberate human decision point
Own AI infrastructure end to end — model routing, LLM proxy, cost attribution, evaluation frameworks, and observability for production AI systems
Set the technical direction for AI and agentic systems across the engineering organisation
Design and build production systems: agent orchestration, autonomous coding pipelines, LLMOps infrastructure
Stay hands-on: write code, review PRs, debug production issues, and set the technical bar
Evaluate new models, frameworks, and techniques as the landscape evolves — and bring what works into the organisation
Establish metrics and observability for agent output quality, cost, and throughput
Recruit and mentor engineers as the function grows, while remaining a primary contributor yourself
Partner with the AI Enablement team to provide the technical foundation for business team AI adoption