Senior Software Engineer – AI Tools | Data Engineering | Experienced

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.

• Design and implement autonomous AI agents that execute multi‑step workflows across internal systems.
• Build and product ionize 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.

• 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 (Lang Chain, Lang Graph, 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.

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.

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.