Senior/Staff Software Engineer - AI Core Systems

sartre group โ€ข New York City Metropolitan Area
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AI Summary

Join a top-performing hedge fund as a Senior/Staff Software Engineer to build and scale AI-driven research and trading platforms. Design and develop distributed systems for AI and data pipelines, and collaborate with ML engineers, data scientists, and researchers.

Key Highlights
Build and scale distributed systems for AI and data pipelines
Collaborate with ML engineers, data scientists, and researchers
Design and develop infrastructure for model training, orchestration, and inference
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
Technical Skills Required
Python C++ Java AWS GCP Kafka ClickHouse Kubernetes MLOps
Benefits & Perks
$200,000-$300,000 base + bonus
Hybrid 4 days a week in-office, relocation available

Job Description


Firm: Top New York Hedge Fund

Role: Senior / Staff Software Engineer โ€“ AI Core Systems

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

Compensation: $200,000โ€“$300,000 base + bonus

Location: NYC (Hybrid 4 days a week in-office, relocation available)


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.


Youโ€™d be joining a small, senior engineering team thatโ€™s building at scale, solving complex distributed problems, and driving the foundation of the firmโ€™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.


Youโ€™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


Theyโ€™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 youโ€™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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