AI Engineer Senior
Tasks
- 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
Skills/Tech-stack
API Integration | Agents | Automated testing | CI/CD | Caching | Chunking | Clustering | Code review | Continuous Deployment | Cost Optimization | Dynatrace | Embeddings | Entity recognition | GitHub | Indexing | Information Retrieval | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | NLP | Named Entity Recognition | Observability | Prompt engineering | Python | RAG | Reranking | Retrieval-Augmented Generation | Semantic Search | Summarization | Text Classification | Tool-Calling | Vector Databases
Education
N/A
Roles
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