Senior AI Research Engineer: LLMs, Multimodal & Agentic AI

Dataminr, Inc.; New York (NY); Hybrid; USD 155,000 - 228,000; Full time

Benefits offered by this job

Flexible work arrangements

Company equity

Discretionary bonus

Generous PTO

Job summary

Dataminr, Inc. is hiring a Senior AI Engineer to collaborate with R&D teams to train, adapt, and deploy state-of-the-art LLMs and agents. The role involves multimodal data and a hybrid setup with two in-office days weekly in New York City or Arlington, VA.

You will own end-to-end LLMOps workflows, optimize training/inference, and drive productization of AI solutions at scale, alongside opportunities for growth in AI and software engineering.

Qualifications

• M.S. in Computer science or equivalent experience.
• 5+ years of experience as a Research or Machine Learning Engineer.
• MLOps/LLMOps Experience: building, optimizing, deploying and operating Deep Learning models using PyTorch, including Transformers and LLMs, not just using APIs
• Experience working with Research Scientists, reading technical research papers, and implementing state-of-the-art methods in Natural Language Processing, Computer Vision, Knowledge Representation and Management, Vector Databases and Generative AI
• Expertise in Python
• Experience with Containers, Kubernetes, AWS, Databricks, and Agentic infra such as LangGraph, LangFuse, and vector stores

Responsibilities

• Work with groups of Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond, to deploy, build, adapt, optimize, and deploy LLM models in production at very large scale.
• Own the technical design and implementation of robust API services, libraries, and container strategies that define and support our end-to-end LLMOps lifecycle.
• Optimize DL/LLM training and inference performance (speed/cost) on specialized hardware.
• Drive the full lifecycle of complex AI problems: from initial research and literature review to hands-on data exploration, implementation of novel, in-house methods, and successful productization.

Skills

MLOps/LLMOps

Python

Transformers / LLMs

Collaboration with researchers

Containers

Kubernetes

AWS

Databricks

LangGraph

LangFuse

Vector stores

Education

M.S. in Computer science or equivalent experience

Tools

Kubernetes

AWS

Databricks

LangGraph

LangFuse

Vector stores

Job description

Dataminr, Inc. is hiring a Senior AI Engineer to collaborate with R&D teams to train, adapt, and deploy state-of-the-art LLMs and agents. The role involves multimodal data and a hybrid setup with two in-office days weekly in New York City or Arlington, VA.

You will own end-to-end LLMOps workflows, optimize training/inference, and drive productization of AI solutions at scale, alongside opportunities for growth in AI and software engineering.