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Key skills for this role
You will work closely with the Director and Head of the Workbench Program in the UK, and partner with the India operations team to understand how the work is done today and translate that into the platform. This is an architecture role with long-term platform ownership and significant technical influence. It is not about maintaining existing systems. The foundations are being laid now, and you will be shaping them hands-on:
AI-native workflows that reason over long technical documents and cite evidence
Backend services that orchestrate large analytical workloads across a data platform, and the APIs around them.
Modern frontend experiences built for reviewing output at scale (React/NodeJS or equivalent) - a near-term critical path for this hire
Secure, enterprise-grade Azure-based deployments, with Databricks as the current leading platform for the data/AI layer.
Robust DevOps and MLOps foundations, including model evaluation
You will operate at both strategic and hands-on levels-designing long-term architectural blueprints while actively shaping core systems in their earliest stages. This role is not about maintaining existing systems. It is about laying the foundations for a platform that will define the next decade of the company’s growth.
12-15+ years in software engineering, with significant architectural ownership
Experience building large-scale, distributed, enterprise-grade systems
Proven, hands-on track record designing and building modern backend AND frontend architectures - frontend/UI depth is essential, not a nice-to-have, for this role
Strong experience in Azure cloud deployments; hands-on Databricks experience (PySpark, Delta Lake, MLflow) strongly preferred
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Polyglot capability (Python, TypeScript, Java, Go, Node.js or similar)
Data storage and query design: SQL, Delta / Lakehouse patterns, search indexes
Structured extraction from long documents; structured-output contracts with LLMs
Batch inference at scale, and the failure modes of long-context model calls
Infrastructure-as-code and CI/CD pipeline design
APIs and service design
Desirable: vector databases, semantic search, RAG architectures - though our work leans more on verified structured extraction than on retrieval alone
Vector databases, Semantic search systems, RAG architectures, Knowledge graphs
Experience in IP analytics, patent intelligence, legal tech, or other knowledge-intensive domains
Exposure to patent data formats, citation networks, IPC/CPC classifications
Experience building explainable systems in regulated or high-trust environments
Verified company details for this employer are not available yet.
Full-time
Senior · 12+ years experience
Onsite
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