Generative AI Engineer — New York, United States

AI/ML Engineer | Hedge Fund | New York

We are currently working with a leading hedge fund who are looking to hire an experienced AI/ML Engineer to join their growing technology team

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This is an opportunity to work on some interesting AI/ML projects, with a particular focus on Generative AI, large language models and multi-agent systems.

You'll be involved in building and deploying AI solutions from the ground up, working with open-source models and developing intelligent systems that can integrate with internal data, applications and business workflows. The focus is on creating secure, scalable solutions that can be deployed within a private environment.

The Role

• Design, develop and deploy AI/ML solutions, with a particular focus on LLMs and Generative AI.

• Work with open-source foundation models such as Llama, Mistral, Qwen, DeepSeek and similar technologies.

• Build and improve RAG pipelines, embedding models, vector databases and semantic search capabilities.

• Develop AI agents and multi-agent systems to support automated task execution and complex workflows.

• Work with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen or similar.

• Fine-tune, evaluate and optimise models for different use cases.

• Improve model performance and inference across GPU infrastructure.

• Build monitoring, evaluation and security processes to support reliable production deployments.

• Work closely with engineering, data and business teams to identify and develop new AI use cases.

What They're Looking For

• A strong background in software engineering and machine learning, with experience building and deploying production-grade AI/ML solutions.

• Hands-on experience developing LLM or Generative AI applications.

• Strong Python development skills.

• Experience working with open-source LLMs and model fine-tuning.

• Experience building RAG applications, vector search and embedding pipelines.

• Exposure to AI agents, multi-agent systems and orchestration frameworks.

• Understanding of model inference, quantisation and GPU optimisation.

• Experience deploying AI solutions within private, on-premise or secure cloud environments would be beneficial.

• Familiarity with Docker, Kubernetes, APIs and production engineering practices.

If you're an AI/ML Engineer interested in working on advanced AI technologies within a leading hedge fund, I'd be keen to have a conversation.