At a Glance
- Tasks: Design and implement cutting-edge AI systems for biopharma clients.
- Company: Elite AI infrastructure startup transforming the pharmaceutical industry.
- Benefits: Competitive salary up to £140K plus equity, hybrid work model.
- Other info: Fast-track career progression to leadership roles in a dynamic environment.
- Why this job: Join a pioneering team and make a real impact in biopharma with AI.
- Qualifications: 3+ years in software engineering with strong academic credentials.
The predicted salary is between 81000 - 99000 £ per year.
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.
About the Role
Reporting directly to the Founders, the Founding Forward-Deployed Engineer sits at the critical intersection of core systems architecture and client-facing technical execution. This is not an isolated back-office developer seat; it is a high-visibility, high-horsepower role designed for someone who can write production code in the morning and lead technical problem-scoping sessions with enterprise pharma stakeholders in the afternoon.
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 in weeks.
The founders place a strong premium on exceptional intellect and demonstrated excellence - whether proven through top-tier academic performance (e.g., Oxbridge, Imperial, Ivy League, or equivalent STEM pedigree), high-tier contest math/Olympiad backgrounds, or a track record of outperforming at premier engineering institutions.
Key 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.
Skills & Competencies
- 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.
Qualifications & Experience
- 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.
Role Details
- Position: Founding Forward-Deployed Engineer (Full-Time).
- Location: London (Hybrid model, combining high-bandwidth co-located building with flexible remote days and occasional client visits).
- Package: up to £140K base + meaningful founding equity stake.
- Progression: Direct path to Head of Forward-Deployed Engineering or core architectural leadership as the business and deployment footprint scale.
Founding Forward-Deployed Engineer in London employer: Broaden Management Partners
Join a dynamic and fast-growing specialty insurance platform in Bristol, where your role as a Business Analyst will be pivotal in driving operational excellence and innovation. With a strong emphasis on professional growth and a flexible hybrid working model, you'll collaborate with cross-functional teams to enhance processes and deliver impactful solutions. This company fosters a culture of agility and continuous improvement, making it an excellent employer for those seeking meaningful and rewarding work in the insurance sector.
Contact Details:
Broaden Management Partners Recruitment Team
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We think this is how you could land Founding Forward-Deployed Engineer in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Broaden Management Partners.
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How to prepare for a job interview at Broaden Management Partners
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Broaden Management Partners uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.