AI Engineer - Document Pipeline & Search (NYC)

Space Executive; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Space Executive in New York seeks an experienced engineer to own the document pipeline from ingestion to indexing and search, empowering an AI research agent to reason over institutional materials.

You will design agent-focused search, convert products into usable APIs, and lead customer-driven R&D such as screening and portfolio-analysis features, all within a fast-moving startup environment.

Qualifications

• Proficient in building production-grade data/document pipelines.
• Experience with AI/LLM extraction pipelines and evaluation.
• Comfortable operating in a fast-moving startup environment.

Responsibilities

• Own the document pipeline end to end (connectors, parsing, chunking, extraction, indexing, search).
• Design search for agents and metadata/filters to support multi-step planning.
• Turn core product into APIs and micro-services for external consumption.
• Build customer-driven R&D such as quantitative screening and portfolio-analysis features.
• Work across infrastructure, backend services, and the cloud platform.

Skills

Python (FastAPI, Pydantic, SQLModel/SA

TypeScript

Full-Stack engineering

AI/LLM systems

Adaptability

Tools

Kubernetes

OpenSearch

Postgres

Terraform

Helm

ArgoCD

SQL

Job description

Space Executive in New York seeks an experienced engineer to own the document pipeline from ingestion to indexing and search, empowering an AI research agent to reason over institutional materials.

You will design agent-focused search, convert products into usable APIs, and lead customer-driven R&D such as screening and portfolio-analysis features, all within a fast-moving startup environment.