Founding Engineer

Broaden Management Partners; Greater London; On-site; GBP 135,000 - 165,000; Full time

Benefits offered by this job

Founding equity

Job summary

Broaden Management Partners is seeking a Founding Engineer to architect the AI infrastructure, data ingestion pipelines, and autonomous workflows from the ground up in a fast-moving biopharma AI startup.

You will build end-to-end systems across Python, PostgreSQL, and frontend interfaces, collaborate with founders, and ensure security and traceability across the platform, with founding equity on offer.

Qualifications

• 3-5 years of hands-on software engineering in Python and TypeScript.
• Experience with Python (FastAPI), PostgreSQL, TypeScript/Next.js/React, and AWS.
• Experience with LLMs, retrieval systems, and AI agents in production.
• Top academic credentials or standout technical contributions.
• Early-stage startup experience is desirable.

Responsibilities

• Build and scale data pipelines ingesting global biopharma data.
• Design agentic workflows, inference pipelines, and extraction with Pydantic AI.
• Develop end-to-end stacks from PostgreSQL schemas to Next.js/React frontends.
• Collaborate with founders to translate client requirements into features.
• Maintain SOC 2–aligned AWS cloud architecture with RBAC and data isolation.

Skills

Python/FastAPI backend

PostgreSQL

TypeScript/React interfaces

LLMs and AI agents

Pydantic AI validation

AWS

Data pipelines

Education

Top-tier degree in CS/Math/Eng

Tools

FastAPI

PostgreSQL

Next.js/React

AWS

Pydantic AI

Job description

Founding Engineer | AI Infrastructure Startup for Biopharma | Full-Time | Up to £150K + Founding Equity

About the Company

Our client is an AI infrastructure company transforming how commercial decisions are made across the global pharmaceutical and biotechnology industries. The team unites cutting-edge AI research with decades of pharmaceutical industry leadership in portfolio strategy, competitive intelligence, forecasting, and business development.

The company builds custom, proprietary AI infrastructure that replaces legacy research vendors and noisy manual workflows with real-time, automated intelligence. Their platform continuously monitors global data sources - including clinical and regulatory milestones, deal flow, hiring, epidemiology, scientific congresses, and HCP research - slashing deliverable turnaround times by over 90% and empowering top-10 global biopharmas to act on verifiable, traceable insights.

Backed by top-tier venture capital, they build forward-deployed systems engineered directly into client environments, pairing high-impact AI capabilities with enterprise-grade data security and governance.

About the Role

Reporting directly to the founders, the Founding Engineer will be a core builder shaping the architectural foundation, data ingestion pipelines, and agentic workflows from the ground up.

This is a high-horsepower, hands-on role designed for an exceptional full-stack/systems builder who can write clean production code across the entire stack, architect reliable data infrastructure, and translate complex client requirements into shipped features.

You will help design the core multi-source ingestion engine, implement autonomous AI agents and structured LLM extraction pipelines, and ensure enterprise-grade security and document traceability across all platform features.

Key Responsibilities

• Build and scale data pipelines that continuously ingest, clean, and process global biopharma data (clinical trial registries, regulatory filings, congress readouts, and market research).
• Implement agentic workflows, inference pipelines, and structured extraction using Pydantic AI and modern foundation models—prioritising absolute document traceability and zero-hallucination accuracy.
• Develop end-to-end capabilities from clean database schemas in PostgreSQL and performant FastAPI endpoints through to responsive Next.js/React frontends.
• Work alongside the co-founders to unpack client requirements, design custom modules to solve specific commercial biopharma workflows, and ship reliable software in fast iteration cycles.
• Maintain SOC 2–aligned cloud architecture on AWS, incorporating fine-grained role-based access control (RBAC), robust test suites, and strict client data isolation.

Skills & Competencies

• Strong end-to-end capabilities spanning Python/FastAPI backend services, PostgreSQL schema design, and modern TypeScript/React interfaces.
• Practical experience integrating LLMs and building AI agents, structured validation (Pydantic / Pydantic AI), and document parsing pipelines where verifiable provenance is critical.
• A strong bias toward shipping; comfortable building 80/20 solutions to validate workflows quickly before hardening them into production-grade infrastructure.
• Confident communication skills, comfortable breaking down complex technical trade-offs and gathering functional requirements directly from non-technical stakeholders.
• Proven ability to rapidly master unfamiliar, complex data spaces (such as clinical trial phases or pharmaceutical licensing structures) and turn them into clean data models.

Qualifications & Experience

• 3-5 years of hands-on software engineering experience building and scaling production software in modern Python and TypeScript environments.
• Solid experience across the core stack: Python (FastAPI), PostgreSQL, TypeScript (Next.js / React), and AWS.
• Practical experience working with LLMs, retrieval systems, and AI agent frameworks in production.
• Strong academic credentials or concrete evidence of top 1% technical ability (e.g., First Class / Distinction degrees in Computer Science, Mathematics, Physics, or Engineering from leading institutions; competitive programming achievements; or standout early-career contributions).
• Prior experience in early-stage startups, forward-deployed engineering, or building data-heavy B2B SaaS products is highly desirable.