Requirements
### Requirements
- Experience in roles such as AI Platform Engineer, GenAI Solutions Engineer, ML Platform Engineer, Backend / Platform Engineer with LLM workflow or Solutions Architect experience in AI.
- Practical experience in building production RAG / agent / workflow systems.
- Experience creating internal tools or platforms used by analysts, business teams, or internal service teams.
- Experience integrating AI pipelines with corporate data sources, APIs, and internal systems.
- Stack: Python, SQL, FastAPI or similar backend stack, API integrations, async, service-oriented development.
- Familiarity with concepts such as LangGraph, LlamaIndex, Haystack, Semantic Kernel.
- Experience with Qdrant, pgvector, Weaviate, Milvus, OpenSearch, Elasticsearch.
- Knowledge of embeddings, hybrid search, metadata filtering, reranking.
- Experience with orchestration tools like Airflow, Prefect, Dagster, Temporal.
- Familiarity with tracing, observability, and evaluation tools like Langfuse, Phoenix, OpenTelemetry.
- Experience with Docker, Linux, Kubernetes, CI/CD.