Senior .NET Developer AI & Intelligent Automation
17 Days Old
You will work within a Scrum team (3-week sprints), contributing to our existing .NET/Angular platform while leading the design and implementation of AI-centric features and integrations. You will partner closely with our ML engineering and infrastructure teams to leverage our in-house GPU infrastructure and Run.ai platform for model training, fine-tuning, and inference at scale.
Key Responsibilities
Core Product Development (.NET / Angular / Messaging)
Design, build, and maintain core product features using: .NET (C#), ASP.NET Core
Angular
SQL Server and MongoDB
RESTful APIs and NServiceBus
Contribute to application architecture decisions, refactoring initiatives, and shared platform components.
Ensure new AI features are robust, secure, explainable, and integrated cleanly into the existing product.
AI Capability & Feature Development
Work with Product Management and domain experts to identify high-value AI use cases, initially focusing on automating processing of claims invoice documents (e.g. OCR, document classification, data extraction, validation workflows).
Design, implement, and integrate AI services and pipelines, such as Machine learning / rules-based components for classification, anomaly detection, and routing (e.g. flagging potentially incorrect invoices or exceptional cases).
Fine-tuned language models or specialized inference models deployed on our in-house GPU infrastructure.
User Experience & Workflow Automation
Work closely with Product and UX to design AI features that give clear benefits to end-users (time saved, errors reduced, fewer clicks).
Implement workflow automation and orchestration:
Required Skills & Experience
Strong commercial experience building enterprise applications with: .NET / C#
ASP.NET Core
Angular
SQL Server and MongoDB
RESTful APIs; NServiceBus or equivalent service bus/messaging platform.
Demonstrable experience in at least one of: Implementing AI/ML-driven features in a production product, or
Building document processing / intelligent automation workflows (OCR, classification, extraction, validation).
Familiarity with common AI/automation building blocks such as: OCR and document understanding (e.g. cloud services or libraries).
Entity extraction, text classification, or similar NLP tasks.
Rule engines, workflow engines, or BPM/orchestration tools.
Strong understanding of non-functional requirements for AI features: Performance and throughput for high-volume processing.
Data protection, privacy, and access control.
Auditability, traceability, and explainability for automated decisions.
Solid grounding in software engineering fundamentals: design patterns, testing strategies (unit/integration), CI/CD concepts, secure development lifecycle.
Personal Attributes
Product-minded engineer who thinks in terms of user outcomes, not just technology.
Pragmatic with AI: focused on solving real user problems and automating meaningful work, rather than technology for its own sake.
Comfortable working in ambiguous problem spaces and iterating quickly based on feedback.
TPBN1_UKTJ
- Location:
- Bristol
- Salary:
- £80,000
- Job Type:
- FullTime
- Category:
- IT
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