FDE

Pharosyn; Greater London; On-site; GBP 100,000 - 150,000; Full time

Benefits offered by this job

Founding equity

Unlimited AI credits

London salary

In-person Soho office

Company card for work

Job summary

Pharosyn is seeking a forward‑deployed engineer to work directly with client teams in London, owning deployments from scoping to go‑live. You will set technical direction, architecture, and agent design for scalable workflows in pharma‑adjacent domains.

You will thrive with 3+ years in production at a scale‑up or B2B SaaS/AI startup, shipping AI agents in production and solving undefined client problems with minimal supervision.

Qualifications

• Forward deployed engineer with track record in scale‑up or B2B SaaS/AI.
• Shipped software for undefined user problems without PM guidance.
• Built, evaluated, deployed AI agents in production and iterated.

Responsibilities

• Own deployments from scoping to go‑live with client teams.
• Set technical direction and architecture for each deployment.
• Take on new departments and lead 1–2 engineers with a domain expert.

Skills

Forward deployed engineer

Startup experience

AI agents production

Self-driven

3+ years production

Tools

Next.js

TypeScript

Python

FastAPI

PostgreSQL

Job description

Pharosyn is working with some of the world’s largest pharma companies to rebuild how the entire industry makes decisions.

Our mission is to optimize decision‑making in pharma by automating consultant‑heavy workflows in market research, forecasting and portfolio strategy. This represents a $100B market. We build high‑agency pods of engineers and ex‑consultants to quickly build scalable agentic systems for each workflow.

We are VC‑backed, and are adding 6‑figure expansions every month.

The role

This is a forward‑deployed role. You will sit with client teams, understand their workflows in depth, and build the systems that do the work. You are the primary technical counterpart to senior client stakeholders, owning each deployment from scoping to go‑live. You will set technical direction rather than inherit it.

Growth means taking on entirely new departments. You take on a new client department with one or two supporting engineers and a domain expert with years of industry experience. You figure out what to build, then build it, with full authority over architecture, stack, and agent design. And what you build becomes product: the agents, workflows, and triggers you create for one client become the primitives we deploy for the next.

In a given week you might build an ingestion pipeline for a European regulator, run a working session with a client team, tune an agent's harness against live output, and ship a feature end‑to‑end from ingestion to UI. Our stack today is Next.js and TypeScript, Python with FastAPI, and Postgres, with frontier models throughout; where it goes next is your call.

You will thrive if you

• Have been a forward deployed engineer, founding engineer, or technical founder at a strong scale‑up/startup B2B SaaS or AI company, with 3+ years in production teams
• Have taken undefined user problems and shipped software for them with no product manager
• Have built, evaluated, deployed, and iterated AI agents in production, and keep up with new techniques
• Work fast, with little supervision, and do not drop problems before they are solved
• Want to go deep on the domain (a life sciences background helps but is not required)

Who we are

Founded by 2 top‑5% Cambridge University graduates in biochemistry and AI research. We have experience building AI for big pharma, scaling engineering teams to 8‑figure revenue, and building foundational ML for VC‑backed neurotech.

On the team we have a former commercial lead of a major incumbent with over 20 years working with pharma strategy teams, and our team is doubling every 2 months.

We get obsessed with the domain and maximize our individual leverage with AI.

• High London engineering salary plus founding equity
• Unlimited AI coding credits, with scope to add tools that benefit the whole team
• In‑person Soho office with whatever setup makes you fastest (new MacBook as standard)
• Greenfield projects for real clients, where technical decisions are yours
• Personal company card with budget for dinners, learning materials, and anything work related