Lead Engineer, AI Platform

Location: Greater London

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** About Bullish**## 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.
** Coin Desk*
* ** 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.
** Coin Desk*
* ** Data** - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics.
** Coin Desk*
* ** Insights** – a digital asset media and events provider and operator of , a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology.
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* Reports to:

** Director, Engineering          
** Engineering Organization & Culture
** At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform where security and compliance are the foundational core, requiring a commitment to technical excellence that goes beyond simply delivering code. We operate as a global engineering organization, setting a high bar in a demanding environment for those driven to do the best work of their careers alongside world-class peers.

We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges.
** The Team: AI & Data Platform
** The AI & Data Platform team powers intelligence across the Bullish ecosystem—from our institutional-grade cryptocurrency exchange to Coin Desk's media, data, and indices businesses. We build the infrastructure that transforms raw data into governed, trustworthy assets and deploy AI systems that meet the reliability standards our institutional clients expect.

We operate at the intersection of data engineering, semantic modeling, and applied AI—delivering solutions across the enterprise, spanning the full breadth of Bullish operations from trading floors to compliance.

As we expand our AI capabilities, we are building out a robust evaluation and governance layer—ensuring every AI system we deploy is observable, testable, and held to the same engineering standards as our trading infrastructure. This is a team where AI is treated as serious engineering, not experimentation.
** What You'll Do
**** What You'll Bring
** AI Engineering

Experience:

5+ years building production AI/ML systems, with demonstrated experience deploying LLM-based applications beyond proof-of-concept.

Agent & Orchestration Expertise:
Hands-on experience with agent frameworks, tool-use patterns, and multi-step reasoning systems.

Experience with at least 3 of the following:

- Lang Chain / Lang Graph (agent orchestration, stateful workflows) - Llama Index (RAG pipelines, data indexing, query engines) - Multi-agent frameworks (CrewAI, Auto Gen/AG2, MetaGPT, OpenAI Agents SDK) - Model Context Protocol (MCP) for tool connectivity - DSPy (programmatic prompting, optimization) - Vector databases (Qdrant, Pinecone, Chroma

DB, Weaviate, pgvector) - Structured output libraries (Instructor, Pydantic, Zod) - LLM inference infrastructure (vLLM, Ollama, Tensor

RT-LLM) - Cloud AI platforms (Vertex AI, Amazon Bedrock, Azure OpenAI) - Evaluation & observability tools (Lang Smith, Braintrust, Weights & Biases, Arize)
Data Platform Fluency:
Strong background in data engineering, semantic modeling, or analytics infrastructure. Comfortable navigating data lakes, governance tools, and BI systems.

Full-Stack Capability:
Proficiency across the…