Join a high-intensity team building the operating system for drug discovery. You will design and ship end-to-end features across a React, Java, and Python stack, creating trusted AI workflows for top-20 pharma scientists. This role demands engineering excellence to transform complex scientific evidence into reliable, high-stakes decision-making tools for the global life sciences industry.
Senior Full-Stack Product Engineer at Perceptic Technologies
Perceptic Technologies is building the operating system for drug discovery, backed by a $12M seed from Accel and Air Street Capital. Founded by the ex-Palantir team behind AIP, they are hiring a Senior Full-Stack Product Engineer to build the intelligence layer connecting scientific evidence to action. If you have 4+ years of experience and a high bar for engineering excellence, join a team already serving top-20 pharma companies and shipping AI workflows that extract clinical data 50x faster. This is a high-intensity role in London offering meaningful equity and the chance to improve human health through technology.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Perceptic Technologies
Role overview
Perceptic is an AI-first operating system for drug development and biopharma that connects evidence, data, decisions, and workflows across the entire drug lifecycle, from early research and asset scouting through scientific evaluation, clinical trial design, and clinical data analysis. It provides a shared intelligence layer that unifies fragmented pharmaceutical R&D tools and data sources so that insights compound over time and every decision is made with full scientific and operational context. The platform is infrastructure- and model-agnostic and is already deployed in large pharmaceutical organizations, where its modular AI workers and products such as Scout, PercepticOS, and Atlas support asset triage, hypothesis testing, and clinical data synthesis, mirroring how scientists think and work while enabling scalable, end-to-end AI-driven drug discovery and development.
What you will do
- Own end-to-end product features from frontend React/TypeScript interfaces to Java and Python backend services, ensuring performance and coherence across the entire stack.
- Architect and ship AI-powered scientific workflows, building the “trust surface” including provenance and citations that allow scientists to verify agent reasoning.
- Partner closely with founders and domain experts to turn ambiguous scientific requirements into production-ready software that survives contact with real-world pharma data.
Who this is a fit for
- At least 4+ years of professional engineering experience with a strong full-stack range and a track record of shipping products people rely on.
- Deep technical fluency in schema design, API contracts, and failure modes, with a high bar for quality typically found at FAANG, Palantir, or top AI labs.
- Highly proficient with AI-assisted development tools and comfortable building on top of durable, fault-tolerant agent architectures to solve complex reasoning problems.
Why this role is remarkable
- Work directly with ex-Palantir founders who built core AIP infrastructure and led the Life Sciences practice for the world’s most demanding environments.
- Join a $12M seed-stage startup backed by premier investors Accel and Air Street Capital, already delivering 50x speed gains for top-20 pharma companies.
- Tackle the “hard problem” of scientific reasoning by building durable AI agent workflows where provenance, citations, and confidence are mission-critical for human health.
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