should be looking for:

- 4+ years of experience as a data scientist / AI Engineer, ideally in customer-facing, production-deployed projects.

- Solid understanding of deep learning concepts, supervised / unsupervised / self-supervised / reinforcement learning.

- Solid understanding of Large Language Models, Transformers architecture, self-attention, mixture of experts, and embedding models.

- Proven experience with advanced Retrieval Augmented Generation, vector DBs, graph DBs and prompt engineering.

- Expertise with AI agents design, orchestration and optimisation.

- Experience with LangChain & LangGraph (preferred) or CrewAI / LlamaIndex

- Experience with model fine-tuning.

- Hands-on data pre-processing experience.

- Strong Python expertise.

- Proficiency in ML frameworks such as PyTorch, TensorFlow, or similar.

- Experience with AWS development and deployment (ECS, Lambda, S3).

- Experience with AWS AI/ML/GenAI platforms: AWS SageMaker & AWS Bedrock.

- LLMOps expertise (LangFuse (preferred) or similar, e.g. LangSmith).

- Familiarity with Docker and Kubernetes.