Key skills
AWSAIMLRAGSageMakerBedrockCollaboration
About this role
Role Overview
- Development and operation of production AI
- and ML-based applications for products, platforms, and internal workflows
- Design and implementation of solutions using LLMs, RAG, and Graph-RAG systems
- Building robust backend services, APIs, and data pipelines
- Monitoring and optimizing model quality, data quality, performance, latency, costs, and reliability of AI systems
Requirements
- Solid experience in developing production AI or ML-based applications
- Strong software engineering skills
- Knowledge of LLMs, RAG, embeddings, agents, knowledge graphs, AI APIs, or automations
- Experience with modern AI/ML platforms, ideally in an AWS environment with services such as Bedrock or SageMaker
- Cross-functional collaboration with Product, Engineering, Data, and business teams
Tech Stack
- AWS
Benefits
- Flexible part-time options — whether due to childcare, mental health challenges, caregiving responsibilities, or returning to work after a longer break, part-time arrangements are possible.
- We are inclusive! Whether you need special aids, have specific needs, or face other barriers, we are committed to finding solutions so you can work with us as accessibly as possible.
- Transparent working environment