Module Lead - Python

We are looking forward to hire Python Professionals in the following areas :

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Experience required: 8-10 years

We are seeking a highly skilled Senior Software Engineer - AI Platform to design, build, and scale AI-driven platform capabilities focused on document processing, information extraction, knowledge graph generation, and distributed data systems. The ideal candidate will have strong expertise in backend engineering, distributed architectures, LLM-based data extraction, graph technologies, and modern API frameworks.

Key Responsibilities

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

Required Skills

• Python
• Distributed-systems fundamentals
• Kafka / event-driven pipelines
• Document processing (Docling document-to-markdown)
• LLM-based / agentic information extraction (NER, tool use, evals) that turns protocol documents into a structured ontology graph
• RDF generation and graph load
• Dgraph graph database
• Django REST + FastAPI
• Node
• Apollo GraphQL supergraph
• MySQL
• Redis
• OpenSearch
• S3/MinIO
• RDF and USDM / clinical-data standards
• Strong written English
  
  

Nice-to-Have Skills

• Ontology engineering / knowledge modelling, including normalizing and mapping extracted elements onto an ontology
• Angular 19 / Nx
• Clinical-trials / healthcare / regulated-data domain experience
  
  

Preferred Candidate Profile

• 8-10 years of software engineering experience with a strong focus on backend and platform development.
• Demonstrated experience building scalable, production-grade distributed systems.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication and stakeholder management capabilities.
• Experience working with AI-driven platforms, knowledge graphs, and enterprise data ecosystems is highly desirable.
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Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture