More jobs:
AI Developer; Gen AI
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-01-02
Listing for:
Elliot Partnership
Full Time, Part Time
position Listed on 2026-01-02
Job specializations:
-
Software Development
AI Engineer, Software Engineer
Job Description & How to Apply Below
Location: New York
Senior Software Engineer – Generative AI (Applied AI & Engineering)
New York City (Hybrid - 3 days a week in-office)
Generous compensation
Are you a hands‑on builder with a first‑principles mindset, ready to architect the future of Generative AI at a premier global quantitative investment firm?
A top‑tier investment and technology development firm is seeking an exceptional Software Engineer to join its pioneering Generative AI initiative.
We're looking for a true builder who can combine hands‑on GAI expertise with a rigorous software engineering background. You’ll be responsible for designing, developing, and deploying the core platforms, from sophisticated RAG systems to agentic workflows.
As a Software Engineer on this central team, you will:- Architect and build production‑grade, high‑performance GAI applications and platforms from the ground up.
- Design and deploy sophisticated Retrieval‑Augmented Generation (RAG) pipelines, including vector search, knowledge graph integration, and advanced reranking.
- Develop and orchestrate complex, multi‑agent workflows (using frameworks like Lang Graph) to automate high‑stakes business processes.
- Partner directly with quantitative researchers, traders, and other business units to understand their problems and deliver tangible, high‑impact GAI solutions.
- Serve as a hands‑on technical expert, shipping code in Python.
- A Bachelor’s or advanced degree (MS or PhD) in Computer Science, Applied Mathematics, or a related quantitative field is required.
- Several years of professional, hands‑on experience in software engineering, with deep proficiency in Python.
- Direct, hands‑on experience building and deploying modern Generative AI systems (e.g RAG, Agentic AI, Fine‑Tuning).
- Strong understanding of system design, MLOps, and cloud‑native development (e.g.Docker, Kubernetes, CI/CD, AWS/GCP/Azure).
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