Senior Software Engineer – AI Tools | Data Engineering | Experienced Hire

Susquehanna International Group; New York (NY); On-site; USD 225,000 - 250,000; Full time

Job summary

Susquehanna International Group is looking for a Senior Software Engineer in New York to design AI agents that reduce operational overhead. Candidates must have 5–10+ years of experience, particularly in AI applications and automation. Responsibilities include developing autonomous systems and integrating emerging AI models. The role offers a competitive salary range of $225K - $250K along with bonuses and benefits. Join us to shape the future of AI at Susquehanna.

Qualifications

• 5–10+ years of software engineering experience.
• Proven experience in building AI-powered applications and automation platforms.
• Expert-level knowledge in Python.

Responsibilities

• Design and implement autonomous AI agents across internal systems.
• Build and productionize retrieval-augmented generation architectures.
• Develop agent memory and orchestration layers.

Skills

Python (async, typing, packaging, testing best practices)

AI-powered applications

Automation platforms

API integration

RAG patterns

Vector databases (e.g., Pinecone, Chroma, pgvector)

Agent frameworks (LangChain, LangGraph)

Job description

Overview

Susquehanna is hiring a Senior Software Engineer to design and build production‑grade AI agents that reduce operational overhead for developers, quants, and traders. This role sits at the intersection of AI systems engineering and workflow automation, focused on developing autonomous and semi‑autonomous tools that streamline triage, improve knowledge sharing, and enhance internal productivity.

This is a hands‑on role within a newly formed initiative. You will independently architect and deploy agentic systems that interact with codebases, APIs, internal tools, and data pipelines. The goal is to build reliable, high‑signal AI systems that operate safely, securely, and at scale.

What You’ll Do

• Design and implement autonomous AI agents that execute multi‑step workflows across internal systems.
• Build and productionize retrieval‑augmented generation (RAG) architectures using structured, permissioned data sources.
• Develop agent memory, orchestration layers, and inter‑agent communication patterns.
• Define tool schemas and translate ambiguous stakeholder needs into deterministic agent behaviors.
• Implement safeguards to mitigate LLM failure modes (hallucination, prompt drift, context management, rate limits).
• Partner directly with developers, quants, and traders to identify automation opportunities and deploy solutions.
• Evaluate and integrate emerging models, frameworks, and open‑source AI tooling.

Experience

What we’re looking for

• 5–10+ years of software engineering experience.
• Proven track record building AI‑powered applications, automation platforms, or agentic systems in production environments.
• Demonstrated ability to design systems that operate with minimal human intervention.
• Expert‑level Python (async, typing, packaging, testing best practices).
• Experience building AI agents that interact with APIs, tools, codebases, and shell environments.
• Strong understanding of RAG patterns and vector databases (e.g., Pinecone, Chroma, pgvector).
• Familiarity with agent frameworks (LangChain, LangGraph, or similar).
• Deep understanding of LLM behavior, constraints, and mitigation strategies.
• Strong system design skills with the ability to work independently in a fast‑evolving space.
• Experience handling sensitive or proprietary data securely.

Why Join

This is an opportunity to shape how AI agents are deployed across Susquehanna. You’ll help define scalable patterns for agent development while building systems that materially reduce operational friction and enable technical teams to focus on higher‑value work.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.

The annual base pay range for this role is $225K - $250K + discretionary bonus + benefits.