Staff Software Engineer, Research Data Infrastructure (AI)

Location: New York, NY, United States; four days per week onsite

Total compensation: $700,000–$1M annually; the role description specifies $850K–$1M total compensation.

Company

hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies. The role supports an established investment technology organization building an AI research lab for complex market research.

What you will do

• Build distributed systems and trusted data infrastructure for frontier AI and research workflows.
• Design resilient processing and orchestration systems with guarantees for reliability, correctness, and data integrity.
• Partner with Research Scientists to productionize workflows using messy, human-generated, and unstructured datasets.
• Develop observability, lineage, monitoring, data quality, and infrastructure health capabilities.
• Improve platform reliability, resiliency, automation, and operational maturity while modernizing existing systems and architecting foundational capabilities.
• Use AI-native engineering workflows, coding agents, and automated development systems to accelerate delivery and improve quality.

Requirements

• 8+ years of experience building scalable distributed systems, data platforms, or production research infrastructure.
• Strong Python engineering skills and software design fundamentals.
• Hands-on experience with distributed systems, orchestration frameworks, and production-grade data infrastructure.
• Experience building infrastructure with strong guarantees around correctness, traceability, reliability, and data integrity.
• Strong understanding of data modeling, schema design, lineage, observability, monitoring, and data quality.
• Experience supporting large-scale research, machine learning, scientific experimentation, or knowledge-intensive workflows.
• Ability to work with ambiguous, noisy, human-generated, or unstructured data while preserving context and traceability.
• Strong communication skills and comfort partnering with research, engineering, and technical stakeholders.
• Practical fluency with AI-native development workflows, coding agents, and automated engineering systems.

Nice to have

• Experience with Python, Flink, Ray, Spark, Kafka, Airflow, Databricks, Snowflake, distributed systems, orchestration frameworks, and observability, lineage, monitoring, and data quality tooling.

Culture & Benefits

• Permanent role with four onsite days per week in New York.
• Work in a well-resourced, AI-native research environment.
• Build foundational infrastructure for AI applications in investment research.
• Own high-impact systems where correctness, trust, provenance, and scale are critical.
• Total compensation is stated as $700,000–$1M annually, with the role description specifying $850K–$1M.