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

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

Job summary

SIG Susquehanna is seeking a Senior Software Engineer in New York to design and build production-grade AI agents aimed at reducing operational overhead. This hands-on position focuses on architecting and deploying autonomous tools that enhance internal productivity across workflows. Ideal candidates should have 5–10 years of experience with a strong background in AI applications, Python expertise, and the ability to work independently. The role offers an annual pay range of $225K – $250K, plus bonuses and benefits.

Qualifications

• 5–10+ years of software engineering experience.
• Proven track record building AI-powered applications.
• Expert-level Python knowledge required.
• Experience building AI agents interacting with APIs.

Responsibilities

• Design and implement autonomous AI agents for workflows.
• Build retrieval-augmented generation architectures.
• Develop agent memory and orchestration layers.
• Partner with developers to identify automation opportunities.

Skills

Software engineering experience

AI-powered applications

Python

API interaction

RAG patterns

Vector databases

Agent frameworks

System design

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.

Qualifications

• 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.

The annual base pay range for this role is $225K – $250K, plus discretionary bonus and benefits.