Senior / Staff Software Engineer – AI Core Systems

sartre group New York City Metropolitan Area
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AI Summary

Join a top NYC hedge fund as a Senior/Staff Software Engineer on the AI Core Systems team. You will build and scale distributed systems for AI research and trading platforms. Requires 4+ years of experience with Python, C++/Java, and cloud/distributed technologies.

Key Highlights
Building and scaling distributed systems for AI and data pipelines
Designing infrastructure for model training, orchestration, and inference
Firm-wide impact with direct visibility to senior leadership
Key Responsibilities
Building and scaling distributed systems for AI and data pipelines
Designing infrastructure for model training, orchestration, and inference
Optimizing performance, reliability, and system throughput
Collaborating closely with ML engineers, data scientists, and researchers
Technical Skills Required
Python C++ Java AWS GCP Kafka ClickHouse Kubernetes
Benefits & Perks
$200,000–$300,000 base + all cash bonus
relocation available
Nice to Have
Background in ML infrastructure or large-scale data environments

Job Description


Firm: Top New York Hedge Fund

Role: Senior / Staff Software Engineer – AI Core Systems

Tech Stack: Python, C++/Java, AWS, GCP, Kafka, ClickHouse, Kubernetes, MLOps

Compensation: $200,000–$300,000 base + all cash bonus

Location: NYC (Hybrid, relocation available)


Sartre is partnered with one of the top-performing hedge funds of last year and this year. The firm is fully committed to building an AI powerhouse and expanding its AI Core Engineering team, the group responsible for designing and scaling the systems behind next-generation AI-driven research and trading platforms.


You’d be joining a small, senior engineering team that’s building at scale, solving complex distributed problems, and driving the foundation of the firm’s AI strategy. Your work will have a firm-wide impact, shaping how data, research, and trading teams utilise AI, with direct visibility to senior leadership and the C-suite.


You’ll work on:

  • Building and scaling distributed systems for AI and data pipelines
  • Designing infrastructure for model training, orchestration, and inference
  • Optimizing performance, reliability, and system throughput
  • Collaborating closely with ML engineers, data scientists, and researchers


They’re looking for:

  • 4+ years of professional software engineering experience
  • Strong in Python, and C++ or Java
  • Deep understanding of distributed systems, messaging, and data pipelines
  • Experience with AWS or GCP, Kubernetes, and tools like Kafka, ClickHouse, or Postgres
  • Background in ML infrastructure or large-scale data environments is a plus
  • Clear communication, technical depth, and an ownership mindset


If you’re a strong engineer who enjoys building scalable systems and wants to contribute to one of the most ambitious AI transformations in finance, apply now to learn more about the role and team.


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