AI Forward Deployed Engineer

Bullish; Greater London; In loco; GBP 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Bullish is seeking an AI Engineer to join the Internal Tools & Automation team in the UK. You will identify operational bottlenecks, build tooling to fix them, and own delivery from concept to production. You will prototype with LLMs, create agentic workflows, and empower non-technical teams to use what you build.

You'll work across Customer Success, Exchange Operations, Trading, and Custody, driving measurable impact with rapid iteration and clear storytelling about improvements.

Competenze

• Must have shipped tools that people actually used.
• Proven ability to move fast with LLMs and coordinate multiple agents.
• Ability to handle production readiness: evals, observability, error handling.

Mansioni

• Partner with a business counterpart to identify bottlenecks and build tools to fix them.
• Move autonomously across the organization to gather requirements and secure data access.
• Ship using tools fit for the job (n8n, Make, Zapier, Lovable, or Python).
• Build and maintain production AI systems (RAG pipelines, conversational interfaces, workflow automation).
• Run workshops to help non-technical teams use what you build.
• Define metrics upfront and report on impact.

Conoscenze

Portfolio of builds

LLM-driven automation

Production-grade mindset

Documentation & SOPs

Communication to business

Experience shipping tools

Strumenti

n8n

Make

Zapier

Lovable

Python

Docker

SQL

Qdrant

Pinecone

pgvector

Descrizione del lavoro

Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange – a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices – a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights – a digital asset media and events provider and operator of Coindesk.com, a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology.

Reports to:

AI Engineer — Internal Tools & Automation

The AI Engineering team acts as an internal catalyst. We identify where the business is slow, build tools to fix it, and move on. Our work spans Customer Success, Exchange Operations, Trading, and Custody — wherever there's friction worth eliminating.

This isn't a research role. We ship fast, measure impact, and iterate. You'll spend more time prototyping with LLMs and building agentic workflows than writing infrastructure, but you'll own what you build all the way to production.

What You'll Do

• Partner with a business counterpart to identify and scope operational bottlenecks, then build the tools to fix them


• Move autonomously across the organization: gather requirements, secure data access, and earn the trust of teams you're helping


• Ship quickly using whatever fits: n8n, Make, Zapier, Lovable, or custom Python. Right tool for the right job.


• Build and maintain production AI systems: RAG pipelines, conversational interfaces, workflow automation, internal agents


• Run workshops and training sessions to help non-technical teams actually use what you build


• Define metrics upfront, track them, and tell the story of what changed

What We're Looking For

We care more about what you've shipped than where you worked. Show us:

• A portfolio of things you've built. Personal projects, side tools, public demos, anything you can point at. GitHub, a writeup, a Loom walkthrough, a live URL. All count.


• Evidence you move fast with LLMs. You've run multiple coding agents in parallel and know how to coordinate between them. You have a feel for how capable frontier models actually are, and you match model intelligence to task complexity rather than defaulting to the biggest one every time.


• Production instincts. You've dealt with the gap between \"it works in the demo\" and \"it works at 3am when nobody's watching.\" Evals, error handling, observability. You've thought about this.


• A process-driven mindset. You document how things work before someone asks you to. Your SOPs and checklists aren't overhead — they're how you stay sharp and move fast without dropping things.


• You've always had ideas. Now you can ship them. AI coding agents removed the bottleneck that used to sit between your thinking and working software. You don't wait for an engineer to build what you've already figured out.


• Communication that closes the gap. You can translate what you built into terms that matter to the business partner who asked for it.


• Formal experience: 5+ years in a role where you shipped tools that people actually used.

Nice to Haves

• Experience with vector databases (Qdrant, Pinecone, pgvector)


• Familiarity with SQL and relational databases so you can pull your own data


• Docker / containerization basics


• Any exposure to blockchain or trading concepts (we'll teach you what you need)

Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.