Senior AI Engineer – Real-Time Multimodal LLMs (Hybrid)

Latitude; Arlington (VA); Hybrid; USD 155,000 - 228,000; Full time

Benefits offered by this job

Flexible work arrangements

Global offices

PTO & sick leave

Job summary

Dataminr is hiring a Senior AI Engineer to lead end-to-end LLM development, training, and deployment across predictive, generative, and agentic AI. You’ll tackle multimodal data and build robust API services with containerized workflows in a large-scale platform.

You’ll work closely with Research Scientists and Data Scientists in the AI Platform organization. You’ll own the design of end-to-end LLMOps pipelines, optimize training/inference, and advance state-of-the-art methods in NLP, computer

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 NLP, CV, 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

• 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 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 research to productization.

Skills

Python

MLOps/LLMOps

PyTorch

Transformers

Vector stores

LangGraph

LangFuse

Kubernetes

AWS

Databricks

Education

M.S. in Computer science or equivalent

Tools

Python

Containers

Kubernetes

AWS

Databricks

LangGraph

LangFuse

Job description

Dataminr is hiring a Senior AI Engineer to lead end-to-end LLM development, training, and deployment across predictive, generative, and agentic AI. You’ll tackle multimodal data and build robust API services with containerized workflows in a large-scale platform.

You’ll work closely with Research Scientists and Data Scientists in the AI Platform organization. You’ll own the design of end-to-end LLMOps pipelines, optimize training/inference, and advance state-of-the-art methods in NLP, computer