Senior Software Engineer, Data Platform, AI Labs

Location: New York, NY; in-office 3–4 days per week. Must be authorized to work in the United States for any employer.

Salary: $180,000–$240,000 USD annually, with potential eligibility for an annual bonus.

Company

hirify.global AI Labs is an innovation and engineering hub building AI platforms for corporate legal departments and global law firms.

What you will do

• Design scalable data pipelines for multi-million-file workloads, including parsing, ingestion, storage, partitioning, and indexing.
• Build fault-tolerant, queue-based asynchronous processing frameworks with retries, idempotency, dead-letter handling, and elastic capacity.
• Design storage and indexing architecture across relational, object, search, and vector stores.
• Build multi-tenant data architectures with tenant isolation, resource controls, and workload management for AI systems.
• Establish observability and service-level objectives for throughput, latency, queue depth, errors, and data quality.
• Lead modernization and migration efforts while preserving production availability and data integrity, and contribute to architecture reviews and engineering standards.

Requirements

• 5+ years of experience designing, building, and operating data-intensive or distributed backend systems in production.
• Experience with large-scale data-processing pipelines, message brokers, queue-based architectures, scaling, delivery guarantees, ordering, and failure handling.
• Strong relational database skills, including query optimization, indexing, partitioning, and zero-downtime schema migration.
• Experience with workflow orchestration frameworks such as Temporal, Airflow, or Dagster, and with search or vector indexes.
• Proficiency in Python or a comparable language, with the ability to work primarily in Python.
• Experience with observability tools, Azure or AWS, Kubernetes, Docker, system design, technical documentation, and AI tools in software development.

Nice to have

• Experience with document processing, OCR, text extraction, format conversion, and archive or email extraction.
• Experience modernizing production systems, using Terraform, or operating multi-region deployments with data-residency requirements.
• Experience with AI/ML data infrastructure and retrieval technologies such as Solr or Qdrant.
• Experience in legal technology or another regulated industry.

Culture & Benefits

• Collaborative, deeply technical environment with rapid iteration, thoughtful design, and end-to-end ownership.
• Enterprise-wide learning and internal mobility opportunities.
• Flexibility and respect for work-life balance.
• Cross-functional collaboration with engineering, product, and security teams.