SR2 | Socially Responsible Recruitment | Certified B Corporation™
Generative AI Engineer
SR2 | Socially Responsible Recruitment | Certified B Corporation™, New York, New York, us, 10261
Generative AI Engineer — New York, NY (On-site/Hybrid)
Full-Time | Financial Services / Investment Management
An established global asset management firm is seeking a
Generative AI Engineer
to join its New York–based technology team. This is an opportunity to work within a research-driven environment and build advanced AI systems that directly support investment, risk, and operational functions. About the Role
The Generative AI Engineer will be responsible for designing, building, and optimizing large-scale AI models and machine-learning pipelines. You will collaborate with researchers, quants, and engineering teams to develop solutions that improve decision-making, automate workflows, and unlock new analytical capabilities across the firm. Key Responsibilities
Develop, fine-tune, and deploy large language models and generative AI systems. Build scalable data pipelines for training and inference. Partner with internal stakeholders to identify high-impact use cases for GenAI. Evaluate emerging AI techniques, tools, and frameworks for integration. Implement best-practice MLOps processes for monitoring, versioning, and continuous improvement. Ensure models meet performance, security, and compliance requirements. Required Skills & Experience
6 years of experience in Machine Learning, NLP, or Generative AI. Solid hands‑on experience with Python and deep‑learning frameworks (PyTorch, TensorFlow, JAX). Strong understanding of LLM architectures, vector databases, prompt engineering, and RAG systems. Experience deploying models to production in cloud or hybrid environments. Familiarity with data engineering concepts and MLOps tooling. Ability to communicate technical ideas clearly to non‑technical teams. Nice to Have
Experience in financial markets or a quantitative research environment. Background in reinforcement learning or multimodal AI. Knowledge of distributed computing and performance optimization.
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Generative AI Engineer
to join its New York–based technology team. This is an opportunity to work within a research-driven environment and build advanced AI systems that directly support investment, risk, and operational functions. About the Role
The Generative AI Engineer will be responsible for designing, building, and optimizing large-scale AI models and machine-learning pipelines. You will collaborate with researchers, quants, and engineering teams to develop solutions that improve decision-making, automate workflows, and unlock new analytical capabilities across the firm. Key Responsibilities
Develop, fine-tune, and deploy large language models and generative AI systems. Build scalable data pipelines for training and inference. Partner with internal stakeholders to identify high-impact use cases for GenAI. Evaluate emerging AI techniques, tools, and frameworks for integration. Implement best-practice MLOps processes for monitoring, versioning, and continuous improvement. Ensure models meet performance, security, and compliance requirements. Required Skills & Experience
6 years of experience in Machine Learning, NLP, or Generative AI. Solid hands‑on experience with Python and deep‑learning frameworks (PyTorch, TensorFlow, JAX). Strong understanding of LLM architectures, vector databases, prompt engineering, and RAG systems. Experience deploying models to production in cloud or hybrid environments. Familiarity with data engineering concepts and MLOps tooling. Ability to communicate technical ideas clearly to non‑technical teams. Nice to Have
Experience in financial markets or a quantitative research environment. Background in reinforcement learning or multimodal AI. Knowledge of distributed computing and performance optimization.
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