AI Engineer Senior
Summary
Senior AI Engineer building GenAI pipelines, RAG systems, and agent workflows in Python, integrating LLMs and ensuring safety and traceability.
- Build classification extraction and summarization pipelines
- Collaborate on GenAI component integration with product and engineering teams
- Create agents with validations and traceable outputs
- Create evaluation datasets and test cases
- Define and develop RAG architectures
- Design and develop GenAI application capabilities
- Design evaluation processes for accuracy relevance consistency coverage and safety
- Design prompt strategies and system instructions
- Develop Python services and APIs for AI capabilities
- Develop agent workflows and tool calling
- Implement chunking embeddings indexing and reranking
- Implement guardrails for hallucinations prompt injection and data leakage
- Implement semantic search and information retrieval
- Integrate AI observability with Dynatrace
- Integrate LLMs via APIs
- Process unstructured data from internal systems and external sources
Perks/Benefits:
- Access to certifications
- Childcare tickets
- Events meetups techdays
- Extra days off
- Flexible compensation plan
- Internal training
- Meal tickets
- Medical insurance
- Remote
- Transport tickets