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.
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