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About the Role
Reporting directly to the founders, the Founding Engineer will design core systems architecture and lead client-facing technical execution. This high-visibility role requires writing production code and leading technical problem-scoping sessions with enterprise stakeholders.
Responsibilities
- Partner directly with senior biopharma strategy and competitive intelligence leaders to unpack complex commercial problems, translate ambiguous needs into technical specs, and deploy custom modules rapidly into client environments.
- Build and maintain scalable, reliable data pipelines ingesting multi-modal global life-sciences data (clinical registries, conference abstracts, regulatory filings, and market intelligence).
- Develop robust inference, vector search, and extraction workflows using modern foundation models, with uncompromising standards for zero-hallucination provenance and source-document traceability.
- Implement robust, SOC 2–aligned cloud environments featuring fine-grained role-based access control (RBAC), end-to-end encryption, and isolated client data perimeters.
- Move seamlessly from whiteboard discovery to working client software within weeks, maintaining tight feedback loops to iterate on features in real time.
Requirements
- 3+ years of professional software engineering experience, ideally with exposure to client-facing engineering, forward-deployed engineering (FDE), or high-velocity B2B SaaS environments.
- 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 contributions to technical systems).
- Experience engaging directly with end-users or enterprise clients to gather requirements, run workshops, and iterate on live feedback.
- Solid software fundamentals: deep understanding of distributed systems, databases, cloud architecture, and modern AI/LLM tooling.
Skills
- High EQ, poise, and communication clarity to sit across from enterprise executives, ask the right questions, and defend technical trade-offs without buzzwords.
- Strong hands-on engineering capabilities across modern backend stacks (Python/TypeScript), cloud infrastructure, distributed data ingestion, and API integration.
- Hands-on experience implementing production RAG, document parsing, and structured extraction pipelines where accuracy and auditability are non-negotiable.
- A bias toward shipping; comfortable building 80/20 MVPs to validate requirements quickly before hardening them into scalable infrastructure.
- Proven ability to break down unfamiliar domains (like complex oncology clinical trial data or pharma licensing terms) and map them cleanly into data structures and business logic.
Location
- Remote
Work Type
- Full-Time
Experience Level
- 3+ years
Education Level
- Degree in Computer Science, Mathematics, Physics, or Engineering from leading institutions
Salary/Compensations
- 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.