Senior Software Engineer

📋 Description

• Build and operate data pipelines (batch and streaming) that ingest, normalize, and enrich large
• Design retrieval systems for agents: chunking, embeddings, hybrid search, reranking, vector and
• Build evaluation harnesses and datasets to measure agent and retrieval quality, regressions, and
• Build backend APIs and services in Python, and the full-stack features that surface data and AI
• Design data models and manage relational, analytical, and vector stores for performance and cost
• Add data quality checks, lineage, observability, and governance, including PII and sensitive-data

🎯 Requirements

• 4+ years of professional software engineering with strong data-engineering exposure and sound
• 1+ year building production systems involving LLMs, retrieval (RAG), or large-scale data pipelines
• Strong Python and SQL, including query optimization and data modeling
• Hands-on with pipeline or stream-processing tooling such as Airflow, Dagster, Spark, or Kafka, or
• Experience with vector stores and retrieval design (pgvector, OpenSearch, or similar), and with
• Docker, working Kubernetes knowledge, and experience on AWS, Azure, or GCP