Job Detail

Balyasny Asset Management

Quick summary

Work type: On-site
Location: New York, NY
Salary: $175,000–$250,000 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k

This role $212k

$127k most similar roles pay here $263k

This role pays more than 77% of similar roles. Most pay $140,651–$212,500 — the shaded band above. At the midpoint, this role pays about $212k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 56 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 32 roles with salary data.

Most-posted roles

Job Detail 56

View all roles at Balyasny Asset Management

At a glance

TL;DR · Job Detail

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As an Agentic Software Engineer at Longaeva Partners, you will join the data platform team to build scalable and secure infrastructure that enables investment professionals to leverage AI effectively. Your day-to-day responsibilities include designing and implementing APIs, workflow frameworks, and self-serve tooling for both human and AI interaction with internal data systems. You’ll create reusable templates and connectors to empower non-developers in building AI-powered applications, ensuring these tools are secure and easy to adopt. Key technologies include Python, SQL, AWS, vector databases, and multi-agent frameworks, requiring strong software engineering fundamentals, system design skills, and a keen interest in AI-native development practices. This role demands proficiency in handling large-scale data pipelines and integrating real-time data sources across various formats, all while fostering a collaborative environment that values intellectual curiosity and diverse viewpoints.

Skills

Python SQL AWS APIs Docker Kubernetes CI/CD Terraform Prometheus Grafana LLM applications Vector database Graph databases Retrieval systems Semantic search AI orchestration Multi-agent frameworks Agentic engineering harness engineering

What you'll do

Design and build the core data platform for AI applications and operational workflows.
Develop secure, scalable, and reliable APIs and service layers on top of internal data.
Create self-serve patterns enabling non-developers to build AI-powered applications easily.
Build workflow engines that combine data retrieval, business rules, and model calls.
Practice agentic engineering to accelerate production code output at high velocity.

What we're looking for

Strong software engineering fundamentals with experience in production backend systems.
Proven system design and architecture skills for large-scale platforms.
Experience building APIs, services, data pipelines, and workflow infrastructure.
Proficiency in Python and SQL with modern cloud architecture knowledge.
Deep curiosity about AI-native development and multi-agent frameworks.
Hands-on experience with LLM applications, vector databases, and semantic search.
Entrepreneurial spirit and ability to operate in a fast-moving environment.

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