2 дня назад
Senior Software Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Developer (AI) (C#/Java, LLMs): Building secure, scalable HR technology platforms and enterprise integrations for a quantitative trading firm with an accent on full-stack development, sensitive-data security, and on-premises GPU infrastructure. Focus on designing end-to-end systems, deploying LLM-based solutions, integrating HR and payroll platforms, and ensuring reliability across the full SDLC.
Location: Onsite in Bala Cynwyd, Pennsylvania (Philadelphia Area)
Company
is a global quantitative trading firm focused on derivatives, market making, market taking, machine learning, and quantitative research.
What you will do
- Build secure, scalable applications and internal platforms supporting HR, payroll, compliance, compensation, and other critical business functions.
- Develop solutions using LLMs on on-premises GPU infrastructure.
- Architect and maintain integrations with enterprise systems such as UKG and ADP.
- Own work across the full SDLC, from architecture and application design through deployment, monitoring, and operational support.
- Contribute to the dedicated on-premises infrastructure environment and collaborate with engineers, analysts, and system owners.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline; relevant experience may substitute for education.
- 10+ years of hands-on software development experience.
- Strong proficiency in C# or Java.
- Experience with SQL, web development, and API-driven architectures.
- Experience with AI-assisted tooling such as Copilot, Cursor, or Claude Code.
- Strong collaboration and communication skills, with interest in deployment, data flow, and reliability.
Nice to have
- Experience deploying AI inference solutions.
Culture & Benefits
- Work in a high-performance, intellectually driven, and highly collaborative quantitative trading environment.
- Partner with researchers, engineers, traders, analysts, and system owners.
- Build systems with strict isolation and reliability standards for highly sensitive firm data.
- Contribute to platforms with firm-wide operational impact.
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