Forward Deployed Engineers

Hands-on, AI-native engineers for your hardest fintech and data problems. They embed with your team, work directly with your stakeholders and take complex, high-stakes work through to running software.

Each one is available individually, on a day rate.

The Engineers

Edward Ruchevits
Forward Deployed Engineer

Fintech, distributed systems and AI engineering

London. Remote, hybrid or on-site.

LinkedIn

Head of Engineering at Daedalus and one of the first hires at Ethereum. Specialises in systems where being wrong is expensive, owning architecture, infrastructure and delivery from the first requirements call.

Bring Edward in for

A demanding platform build, a critical system that needs technical ownership, or a team adopting agent-driven engineering safely.

Selected work

  • Led engineering on a multi-party football-finance platform, directly with the client, that now runs multi-million deals.
  • Architected a fault-tolerant real-time calculation engine. With every worker killed mid-stream in a live run, every result still matched an independent reference.
  • Designed an AI engineering system in which many agents work in parallel on one codebase, with architecture enforced by machine rather than convention.

Core stack

TypeScript, Kotlin, Kafka, Flink, PostgreSQL, AWS, Pulumi, Claude Code, Codex

Patrik Hoferica
Forward Deployed Engineer

Fintech platforms and data integration

Remote.

LinkedIn

Full-stack engineer who works directly with clients and has delivered across the entire stack of two complex financial platforms, working AI-first with Claude Code and Codex.

Bring Patrik in for

A remote assignment spanning complex product workflows, identity, data integration and the tools your operators depend on.

Selected work

  • Built the core deal machinery of a football-finance platform running multi-million deals: contracts, negotiation, virtual data rooms and a bidding room.
  • Modelled five types of football financing in the application schema and clause seeder.
  • Built change-data-capture and calculation services, then the authentication and design system, for a real-time market-data platform.

Core stack

TypeScript, Next.js, React, GraphQL, PostgreSQL, Kafka, Debezium, Pulumi, Keycloak, Claude Code, Codex

Dylan Burns
Forward Deployed Engineer

Fintech workflows and product engineering

London. Remote, hybrid or on-site.

LinkedIn

Full-stack engineer who works directly with clients and works AI-first with Claude Code and Codex, with a computer science degree and an enterprise IT background at an international law firm.

Bring Dylan in for

A complex finance journey, account security or billing that needs building across product and backend, especially inside an established organisation.

Selected work

  • Delivered rule-heavy financing workflows on a football-finance platform running multi-million deals, including financier matchmaking and league rules.
  • Built financing offers, payables and calculated fields, plus one-time passcodes, recovery codes and an identity provider upgrade.
  • Built subscription, usage and payment flows, and live data delivery over WebSockets, for a real-time market-data platform.

Core stack

TypeScript, Python, Next.js, React, GraphQL, PostgreSQL, Kysely, WebSockets, Keycloak, Claude Code, Codex

Client and project details are anonymised here and can be discussed on a call.

What They Can Do For You

Embed with the client

Join your calls, learn your domain, and turn loosely defined business workflows into working software.

Edward, Patrik, Dylan

Build AI-native

Every engineer here works with coding agents every day, using enforced boundaries, independent review and evidence that the work was verified.

Edward, Patrik, Dylan

Handle high-stakes workflows

Multi-party financial processes with transactional audit trails, idempotent events, step-up authentication and concurrency-safe state changes.

Edward, Patrik, Dylan

Deliver real-time data

Distributed streaming on Kafka and Flink, with deterministic results that stay correct when data arrives late or services fail.

Edward, Patrik

Own the full stack

From database and API through to interface, cloud infrastructure and deployment.

Edward, Patrik, Dylan

Secure accounts and payments

Passkeys, one-time passcodes, recovery codes and step-up authentication, plus subscriptions, usage and payment setup.

Dylan, Patrik, Edward

How An Engagement Works

  1. Share the problem

    Tell us what you need built or unblocked, and the skills you are looking for.
  2. Choose the engineer

    We put forward the individual who fits, and you speak to them directly.
  3. Embed on a day rate

    They work in your team, your tools and your priorities, for as long as you need them.
  4. Stay supported

    Daedalus keeps oversight of the engagement, with senior technical advice on call.

Oversight

Tesh
Engagement Oversight

CEO and Co-Founder of Daedalus, and your commercial contact. Former KPMG banking consultant, and founder, COO and head of product in FinTech.

LinkedIn

Kaz
Technical and Data/AI Advisor

CTO and Co-Founder of Daedalus. String theorist and academic turned data scientist, with data consulting experience across FTSE 250 brands.

LinkedIn

Need An Engineer?

Talk to Tesh about the role and who would fit.

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