C
AI Engineer
Cititec
4 hours ago
Full-time
On-site
New York City, 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
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.
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
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.