Build AI-powered enterprise solutions for customers using HASH. Partner with stakeholders to understand workflows and data, translate ambiguous business problems into technical plans, design and deploy systems, write production code, lead implementation and rollout, and advise customer teams. Work across knowledge graphs, structured and unstructured data, LLM workflows, and automation while collaborating with product, engineering, and research teams to develop repeatable solution patterns.
About HASH
About the role
Requirements
What you'll do
Why HASH
Benefits
At HASH, we're building infrastructure to solve information failure and help everybody make the right decisions. Our open-source platform helps firms integrate both structured and unstructured information into knowledge graphs that support simulating, optimizing and automating processes.
We’re building towards world models from a radically different perspective to most AI labs. Our founders include Joel Spolsky (former founder of Stack Overflow; acq. $1.8bn, and Trello; acq. $425m), Jude Allred (former CTO of Glitch) and Dei Vilkinsons (former CEO of Soho Strategy).
In the last 6 months we've seen significant growth and are now scaling fast. We're hiring Forward-Deployed Engineers in London to help build real-world applications for our customers utilizing HASH's technology.
This is a highly technical, customer-facing role for someone who enjoys operating at the intersection of AI, systems thinking, and problem-solving. You’ll work closely with customers to understand their goals, translate complex business problems into robust technical solutions, and help them realize value quickly.
- Strong technical ability, with experience shipping software, or building AI systems in production: prior AI/ML engineering, data engineering, applied AI, or product engineering experience is a hard requirement — specifically you'll require expert (Staff+) level knowledge of TypeScript
- Ability to work directly with customers and own complex problem-solving end to end: you'll interface with external stakeholders and will need to draw upon social intelligence, business context, and technical insight in your work — demonstrating clear, structured communication.
- Strong judgment, high agency, and a bias toward execution: comfort operating in fast-moving environments with a high degree of ambiguity
- Genuine interest in helping customers succeed, not just shipping technology: results-oriented and impact-motivated; many of our engagements are priced based on the results we deliver, as is compensation in this role.
In essence, you'll talk to customers, act as a technical architect, and write code / develop solutions yourself (both solo and within a wider team):
- Partner with customers to understand their workflows, data, and operational challenges
- Design and build AI-powered solutions using HASH, especially for enterprise use cases
- Translate ambiguous business problems into structured technical plans and deployable systems
- Work across knowledge graphs, structured and unstructured data, LLM-based workflows, and automation
- Lead technical discovery, solution design, implementation, and rollout with customer stakeholders
- Act as a trusted advisor to customer teams, from operators and technical teams through to executives
- Work closely with product, engineering, and research to shape the platform based on real customer needs
- Help define repeatable solution patterns, delivery playbooks, and best practices as we scale
- Work on first-principles AI research tied to a large and important real-world mission
- Join at a moment of rapid growth, with outsized scope and influence
- Help build a leading frontier AI lab in Europe with global ambition
- Work alongside founders who have previously built and exited businesses worth billions of dollars
- Be part of a team that moves fast, is enthusiastically open source, and is in it for the long-term
Our team have founded and sold billion-euro companies from scratch. We offer leading equity-weighted total compensation, including competitive salaries and tax-advantaged options.
We meet together quarterly in-person for whole-team retreats, provide engineers with generous learning and tech budgets, and recognize and reward output.
This role is primarily performance-incentivized and pays £90,000-£140,000 base/bonus, plus meaningful equity.
Similar Jobs
Artificial Intelligence • Fintech • Professional Services • Software
Build and deploy software, internal tools, integrations, automations, and AI-enabled workflows for German tax advisory teams. Discover operational workflows, rapidly prototype MVPs, gather user feedback, and scale successful solutions into reliable systems. Collaborate with founders, engineers, operators, and tax professionals throughout the delivery process. The role requires strong hands-on engineering, product thinking, user engagement, and production deployment skills in ambiguous environments.
Top Skills:
Ai AgentsAPIsDatabasesIntegrationsLlms
.png)
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML/AI integrations, and guide enterprise customers through adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders to deliver measurable outcomes. Contribute reusable frameworks and technical feedback while supporting customer training, documentation, and strategic initiatives.
Top Skills:
Ai ApisSparkAWSAzureCi/CdDatabricksGCPJavaScriptMl/Ai ModelsMlopsPythonScalaTypescript
Information Technology
Design and implement scalable AI integrations, agentic AI and human-in-the-loop workflows, data pipelines, APIs, and production-ready deployments. Translate AI proofs of concept into reliable systems, troubleshoot client integrations, evaluate performance, reduce manual intervention, and contribute to platform improvements. Lead technical discovery workshops, support pre-sales validation, advise enterprise stakeholders, and use deployment insights to influence product roadmap priorities.
Top Skills:
APIsAWSAzureClaudeData PipelinesDistributed SystemsGCPGoMl InfrastructureMlopsPython
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
