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About the Role
This high-visibility role sits at the intersection of core systems architecture and client-facing technical execution. You will help design the core multi-source data and LLM extraction infrastructure, while embedding directly with client teams to discover requirements, scope custom AI modules, and ship live, secure solutions.
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 diagnostic 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
- London
Work Type
- Full-Time
- Hybrid
Experience Level
- 3+ years of professional software engineering experience
Education Level
- First Class / Distinction degrees in Computer Science, Mathematics, Physics, or Engineering from leading institutions
Salary/Compensations
- up to £140K
Benefits
- Founding Equity
About the Company
- Our client is an elite AI infrastructure company transforming how strategic commercial decisions are made across the global pharmaceutical and biotechnology sectors.
- Founded by a very bright team and backed by top-tier venture capital, the company pairs advanced AI research with deep industry expertise spanning commercial portfolio strategy, forecasting, and competitive intelligence.
- Their platform replaces noisy, manual research vendors with custom AI systems that continuously monitor global clinical trials, regulatory milestones, conference readouts, deal activity, and HCP research - cutting insight delivery time by over 90% for top-10 biopharmas.
- Operating with a forward-deployed engineering model, they build and embed secure, proprietary AI systems directly into client environments, giving global pharma leaders verifiable, document-traceable competitive intelligence in minutes instead of days.