Python / GenAI / DI Developer

Position Overview:

We have a GraphRAG platform and we wish to start building team of people who know how to deploy, customise and extend the solution.

These people would eventually take on a wider range of responsibilities, within our COE, for example to work on Client projects. The GraphRAG solution is however a good place to start and be a proving ground.

Key Responsibilities

• Deploy solution into new customer tenant (based on a re-usable method)
• Onboard customer documents into the solution, including making sure diagrams have been properly parsed.
• Configure Langchain for vector processing and graph extraction
• Create agents to generate new outputs from existing knowledge graph
• Tune prompts so that customers can find the information they are looking for
• Collaborate with on-shore teams who have customer relationships and share knowledge with other KANO developers around the world.

Required Skills and Qualifications

• Technical data engineers with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces
• People with a real technical facility to solve problems without significant oversight or leadership
• An understanding of AI, and AI ethics
• An understanding of data safety in use of Large Language Models
• Knowledge and experience of either AWS or Azure
• AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
• Azure (azure Open AI service, Cosmos DB)
• Python

Preferred Qualifications

• Langgraph
• Neo4j/cypher
• AI RAG (retrieval augmented generation)
• Graph RAG
• Few shot detection
• Embedding models/LLMs - how they work, how they are trained

Aptitude

• Dealing with ambiguity
• Problem solving
• Curiosity