Module Lead - Python Job

Module Lead - Python Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

 

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

 

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

 

Job description:

 

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.
• Provide your feedback on BizChat

 

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

 

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

Experience Level

Senior Level