Senior Software Engineer - AI & Platform

We are looking for a highly skilled Senior Software Engineer - AI and Platform with strong backend and platform engineering expertise to design, build, and scale AI-driven platform capabilities. The role will focus on document processing, information extraction, knowledge graph generation, distributed data systems, and AI-powered backend platforms. The ideal candidate should have strong experience in Python, distributed systems, Kafka, LLM-based information extraction, graph technologies, API frameworks, and modern data platforms.

Responsibilities:

• Develop and maintain scalable backend and platform services using Python, Django REST, and FastAPI.
• Design and support distributed systems and event-driven pipelines using Kafka.
• Build document processing workflows using Docling document-to-markdown.
• Develop LLM-based and agentic information extraction solutions, including NER, tool use, and evaluations.
• Transform protocol documents into structured ontology graphs.
• Design and maintain RDF generation and graph ingestion pipelines.
• Work extensively with Dgraph and graph-oriented data models.
• Develop and integrate backend services using Node.js and Apollo GraphQL Supergraph.
• Manage and optimise data storage and retrieval using MySQL, Redis, OpenSearch, and S3/MinIO.
• Implement solutions aligned with RDF, USDM, and clinical-data standards.
• Collaborate with cross-functional teams to deliver scalable and reliable platform capabilities.
• Contribute to architecture discussions and produce high-quality technical documentation.

Requirements:

• 8-10 years of relevant software engineering experience with a strong focus on backend and platform development.
• Proven experience building scalable, production-grade distributed systems.
• Strong expertise in Python and modern backend frameworks.
• Hands-on experience with AI/LLM-driven platforms and information extraction.
• Exposure to knowledge graphs, RDF, ontology engineering, and graph databases.
• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management capabilities.
• Ability to work effectively in a fast-paced, collaborative environment.

Required Skills:

• Python
• Distributed Systems
• Kafka / Event-Driven Architecture
• Django REST
• FastAPI
• LLM / GenAI / Agentic AI
• NER, Tool Use and LLM Evaluations
• Document Processing / Docling
• RDF and Graph Data
• Knowledge Graph / Ontology Graph
• Dgraph
• Node.js
• Apollo GraphQL Supergraph
• MySQL
• Redis
• OpenSearch
• S3 / MinIO
• USDM / Clinical Data Standards
• Strong written and verbal communication skills

Nice-to-Have Skills:

• Ontology engineering and knowledge modelling.
• Normalisation and mapping of extracted elements to ontologies.
• Angular 19 / Nx.
• Clinical trials/healthcare / regulated-data domain experience.