Backend Developer (Python)

Role Summary
You will design and implement the serverless infrastructure that powers the Knowledge Platform. Your work will involve managing complex data relationships in a Graph Database (Amazon Neptune), orchestrating AI workflows via Amazon Bedrock, and crucially developing the Feedback API. This API is the cornerstone of our "Human-in-the-Loop" strategy, allowing clinical experts to provide structured feedback on AI-generated content, which in turn matures our machine learning models and ensures clinical safety.

Key Responsibilities
API Development & Feedback Loop: Design and maintain robust REST/GraphQL APIs, including the specialized Feedback API which captures human validation of AI-extracted facts and semantic triples.
Knowledge Graph Engineering: Develop SPARQL/Gremlin queries and data mutation patterns for Amazon Neptune to manage complex clinical taxonomies and content relationships.
AI Orchestration: Build Back End integrations with Amazon Bedrock for Retrieval Augmented Generation (RAG), entity extraction, and automated content tagging.
Search Infrastructure: Implement and optimize hybrid search logic, combining vector embeddings in Amazon OpenSearch with structured graph traversals.
Serverless Workflows: Design and deploy event-driven architectures using AWS Lambda, Step Functions, and EventBridge to handle complex content processing pipelines.
Data Integrity & Security: Ensure all data handling complies with NICE security standards, using KMS encryption and robust IAM roles within the AWS London Region.
Collaborative Discovery: Work with Infrastructure Architects and UX Designers during the discovery phase to ensure technical feasibility and system performance.
Technical Stack & Skills

Backend Mastery (Essential)
Languages: Expert-level Python (preferred for AI/Data) or Node.js/TypeScript.
Cloud Native AWS: Deep experience with AWS Lambda, API Gateway, S3, and SQS/SNS.
Database Expertise: Proven experience with Graph Databases (Amazon Neptune/SPARQL) and NoSQL environments.
Search Technologies: Experience with OpenSearch or Elasticsearch, specifically regarding vector database capabilities.

AI & Data Integration (Highly Desirable)
Generative AI: Familiarity with LLM integration (Amazon Bedrock, LangChain, or similar frameworks).
Feedback Systems: Experience building "Human-in-the-loop" (HITL) systems where user input directly influences data model accuracy.
DevOps/IaC: Proficiency in Terraform, AWS CDK, or CloudFormation to manage infrastructure.

Behavioural Skills for Success
Systems Thinking: Ability to understand how data flows from a raw clinical document into a structured "triple" in a graph database.
Security-First Mindset: A rigorous approach to data validation, especially given the high-stakes nature of national healthcare guidance.
Iterative Delivery: Comfortable working in a fast-paced environment where requirements evolve based on discovery findings and user testing.

LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.