Software Engineer, AI Infrastructure

Staff Software Engineer, AI Research Infrastructure & Data Platforms

Compensation: $600,000 – $850,000 Total Compensation (base salary, bonus, and long-term incentives)

Location: New York City, NY (4 days onsite per week)

A pioneering AI-native investment and research organization is building one of the most ambitious applications of artificial intelligence in financial markets today. Operating with the autonomy, pace, and ownership of a startup while backed by significant resources and long-term conviction, the team is developing AI systems that drive investment decisions at scale across global markets.

This is a rare opportunity to join a highly technical, multidisciplinary team of researchers, machine learning engineers, and platform specialists working at the frontier of AI, reasoning systems, and large-scale experimentation. Rather than applying AI as a supporting tool, the organization is building systems where AI is central to the investment process itself—requiring world-class infrastructure, data platforms, and engineering foundations to enable cutting‑edge research and production workflows.

As a Staff Software Engineer, you’ll become the technical owner of a business‑critical platform area, partnering directly with research teams to design and build the infrastructure that powers next‑generation AI research, experimentation, and production systems.

• Design and build scalable distributed systems supporting frontier AI research and investment workflows.
• Develop trusted data platforms that manage complex, unstructured, and human‑generated datasets while preserving provenance, traceability, and context.
• Partner closely with Research Scientists to product ionize novel research ideas and experimental workflows.
• Own critical infrastructure spanning data ingestion, orchestration, storage, lineage, monitoring, observability, and quality assurance.
• Architect resilient systems that improve research velocity, reliability, and operational trust.
• Modernize existing platform capabilities while driving greenfield infrastructure initiatives.
• Establish engineering best practices around data correctness, schema design, governance, and platform scalability.
• Act as a highly embedded engineering partner within a fast‑moving research environment.

• 8+ years of experience building large‑scale software systems, data platforms, infrastructure, or distributed systems.
• Strong software engineering fundamentals with deep hands‑on Python development experience.
• Strong understanding of data modeling, schemas, lineage, observability, quality control, and platform architecture.
• Experience working with complex, messy, or human‑generated datasets where context and correctness matter.
• Track record of operating in high‑performance engineering organizations with rigorous technical standards.
• Ability to collaborate effectively with researchers, ML practitioners, and cross‑functional technical teams.
• Comfort owning ambiguous problem spaces and defining long‑term technical direction.

• Experience in ML infrastructure, experimentation platforms, AI systems, or research tooling.
• Background in financial technology, marketplaces, scientific computing, or large‑scale data‑intensive environments.
• Familiarity with distributed computing and modern AI research workflows.
• Python
• Distributed Systems
• Data Infrastructure & Platforms
• Workflow Orchestration
• Research Platforms
• AI/ML Infrastructure
• Monitoring & Reliability Engineering

• Build infrastructure that directly powers cutting‑edge AI research and real‑world decision‑making systems.
• Join an elite team of researchers and engineers working on challenging problems at the intersection of AI, reasoning, data, and systems engineering.
• Take ownership of a strategically important platform area with significant influence over architecture and roadmap.
• Work in a highly collaborative environment where engineers and researchers partner closely from idea to production.
• Gain exposure to some of the most advanced AI experimentation and production workflows being built today.
• Receive highly competitive compensation and long‑term career growth opportunities.
• Make an outsized impact in a team where individual contributions are highly visible and meaningful.