Senior Software Engineer (Data, AI)

Role overview

Join Juniper Square as a Senior Software Engineer (Data, AI) to help build an AI-native intelligent data platform for private markets. You’ll own end-to-end delivery of core pipeline components, contribute to technical architecture, and ensure data quality, reliability, and observability.

Responsibilities

• Deliver core data pipeline components including:
  • data normalization
  • schema mapping
  • validation
  • enrichment
  • data distribution
• Contribute to the technical architecture of a modern AI-native data warehouse, including:
  • schema design and normalization approaches
  • API patterns
• Build and maintain data validation checks, monitoring, and observability tooling for data quality at scale
• Write production code daily and collaborate closely with staff engineers
• Document technical decisions clearly for engineering and product audiences

Requirements

• 4–7 years of software engineering experience shipping production systems end-to-end
• Hands-on data engineering/warehouse experience, including ETL/ELT, schema design, normalization, and data distribution
• Strong backend engineering fundamentals (backend services, data pipelines, API design)
• Strong written communication
• Experience with AI-assisted and agentic development workflows, used daily
• Ability to critically evaluate AI-generated code and outputs (identify failure modes and regressions)
• AWS experience (with Redshift as a plus)

Nice-to-haves / Additional strengths

• Production experience building with LLMs (prompt design, model integration, output validation)
• Experience with RAG pipelines, vector stores (e.g., OpenSearch, pgvector), or document extraction systems
• Building data products for external customers
• Background in financial services data (fund administration, investment data schemas, institutional reporting workflows)
• Familiarity with evaluation frameworks for AI outputs (deterministic checks, cross-model comparison, human-in-the-loop review)