Lead Engineer, AI Platform
Lead Engineer, AI Platform

Lead Engineer, AI Platform

Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement reliable AI systems that transform data into actionable insights.
  • Company: Join CoinDesk, a leading media company in the crypto economy.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Be at the forefront of AI innovation in the rapidly evolving digital asset space.
  • Qualifications: 5+ years in AI engineering with strong data platform fluency.
  • Other info: Collaborative environment with a focus on technical excellence and career advancement.

The predicted salary is between 60000 - 84000 £ per year.

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.

In November 2023, CoinDesk was acquired by the Bullish group, owner of Bullish, a regulated, digital assets exchange. CoinDesk operates as an independent subsidiary with an editorial committee to protect journalistic independence.

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 CoinDesk'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

  • AI Systems Architecture: Design and implement production AI systems with emphasis on reliability, observability, and continuous evaluation. Champion engineering practices that ensure AI outputs are consistent, evidence-based, and auditable.
  • Conversational Analytics: Lead development of natural-language interfaces to business data, enabling stakeholders to query complex datasets through governed semantic layers.
  • Agent Development: Architect multi-agent systems that coordinate across data sources, applying industry best practices for agent orchestration, tool use, and structured output generation.
  • Evaluation & Trust: Build evaluation harnesses and testing frameworks that measure AI system quality—including groundedness, factual consistency, and output reliability—before deployment to production.
  • Cross-Functional Collaboration: Work closely with product, trading, research, and media teams to translate complex requirements into scalable AI solutions with clear success metrics.
  • Technical Leadership: Mentor engineers, establish coding standards, and drive architectural decisions that balance innovation velocity with production stability.
  • Semantic Layer Partnership: Partner with data engineering to define and enforce semantic models that bridge raw data to AI-consumable formats, ensuring business logic is captured once and reused across applications.

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.
  • 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 stack—Python for AI/ML, cloud infrastructure (GCP preferred), and exposure to frontend integration for conversational interfaces.
  • Engineering Rigor: Track record of building observable, testable, well-documented systems. Experience with CI/CD for ML, experiment tracking, and model governance.
  • Communication: Ability to translate between technical implementation and business value. Comfortable presenting to senior stakeholders and aligning diverse teams.

Nice to Haves

  • Experience in financial services, fintech, or digital asset sectors.
  • Background in explainable AI or behavioural evaluation methodology.
  • Familiarity with enterprise data governance and metadata management.
  • Experience building conversational or natural-language interfaces to structured data.
  • Knowledge of market data, trading systems, or financial analytics.

EQUAL OPPORTUNITY

In an effort to attract, retain, develop and promote the most qualified individuals, CoinDesk is committed to treating all applicants and employees in a nondiscriminatory manner with respect to the terms and conditions of employment, without regard to race, color, religion or belief, sex, national or ethnic origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status/service, physical or mental disability, or any other classification protected by applicable law. This mandate governs all aspects of employment, including recruitment, selection, promotion, training, education, social and recreation programs, compensation, discipline, termination and access to benefits.

ACCOMMODATION

CoinDesk is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application process, please send an e-mail to recruiting@coindesk.com and let us know the nature of your request.

Lead Engineer, AI Platform employer: Bullish, Inc.

At CoinDesk, we pride ourselves on being a leading force in the crypto economy, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to engineering excellence is matched by our dedication to employee growth, providing ample opportunities for professional development and mentorship within a culture that values transparency and integrity. Located at the heart of the digital asset revolution, we empower our team to tackle high-impact challenges while enjoying the benefits of a supportive and inclusive workplace.
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Contact Detail:

Bullish, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Engineer, AI Platform

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their products and services, especially in the AI and crypto space. This will help you tailor your answers and show that you're genuinely interested in joining their team.

✨Tip Number 3

Practice your technical skills! For a role like Lead Engineer, be ready to tackle coding challenges or system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills before the big day.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about wanting to join the team at CoinDesk.

We think you need these skills to ace Lead Engineer, AI Platform

AI Engineering Experience
Agent & Orchestration Expertise
LangChain / LangGraph
LlamaIndex
Multi-agent frameworks
Model Context Protocol (MCP)
DSPy
Vector databases
Structured output libraries
LLM inference infrastructure
Cloud AI platforms
Evaluation & observability tools
Data Platform Fluency
Full-Stack Capability
Engineering Rigor
Communication

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Engineer role. Highlight your AI engineering experience and how it aligns with our mission at CoinDesk. We want to see how your skills can contribute to our team!

Showcase Your Projects: Include specific examples of AI/ML systems you've built or contributed to. We love seeing real-world applications, so don’t hold back on sharing your successes and the impact they had!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical expertise and how it relates to the job. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure it reaches us directly and gets the attention it deserves. Plus, it’s super easy to do!

How to prepare for a job interview at Bullish, Inc.

✨Know Your AI Stuff

Make sure you brush up on your AI engineering experience, especially with LLM-based applications. Be ready to discuss specific projects where you've built production systems and how you tackled challenges in deployment.

✨Show Off Your Full-Stack Skills

CoinDesk is looking for someone who can navigate the entire stack. Prepare examples of your work with Python for AI/ML, cloud infrastructure, and any frontend integration you've done. Highlight how these skills contribute to building robust AI systems.

✨Communicate Like a Pro

You’ll need to translate technical jargon into business value. Practice explaining complex concepts in simple terms, as you'll likely be presenting to senior stakeholders. Think about how your past experiences can illustrate this skill.

✨Prepare for Cross-Functional Collaboration

Expect questions about how you’ve worked with different teams in the past. Have examples ready that showcase your ability to collaborate with product, trading, and media teams to create scalable AI solutions. This will demonstrate your versatility and teamwork.

Lead Engineer, AI Platform
Bullish, Inc.
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