Software Engineer II

dataminr; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Dataminr is seeking a skilled full-stack AI software engineer to design, develop, and maintain AI-driven web applications and microservices. You will build RESTful backends with FastAPI/Flask, create React-based dashboards, and integrate LLMs with RAG pipelines for real-time document processing and semantic search.

You will work with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB), participate in deployment on AWS using Docker, and collaborate with AI researchers to bring production

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field with 3+ years of experience in full-stack AI software development.
• Experience with Python for backend development and ML/NLP workflows.
• Frontend experience with JavaScript; 2+ years in React and REST API integration.
• 2+ years building RESTful services with FastAPI and/or Flask.
• 3 years working with relational databases (PostgreSQL/MySQL) and MongoDB.
• Experience implementing search and information retrieval with Elasticsearch.
• Experience integrating LLM APIs and RAG pipelines (LangChain) into production.
• NLP techniques (NER, text classification, topic modeling) using NLTK/Spacy/Sklearn.
• Experience collaborating with AI researchers to deploy models in production.
• Containerizing and deploying apps with Docker on AWS.

Responsibilities

• Design, develop, and maintain full-stack AI-driven web applications and microservices.
• Build and optimize RESTful API backends with FastAPI/Flask.
• Develop frontend interfaces using React for dashboards and data visualization.
• Integrate LLM APIs and RAG pipelines into production systems.
• Design and manage data storage with PostgreSQL/MySQL and MongoDB.
• Deploy and monitor containerized apps on AWS using Docker.

Skills

Python

Java

React

REST APIs

NLP

Elasticsearch

LangChain

Docker

AWS

PostgreSQL

Education

Bachelor's degree in CS/CE/IT

Tools

FastAPI

Flask

MongoDB

MySQL

PostgreSQL

LangChain

Docker

AWS

Job description

Who we are:

Dataminr is a mission-driven AI company that delivers real-time information from 1M+ public data sources, empowering organizations to respond to critical events and emerging risks before they unfold. Founded as an AI company in 2009, Dataminr has the history and tenure in artificial intelligence, and has developed pioneering technology that is redefining the future of real-time information. Recognized as one of the world's leading AI businesses, recently, Dataminr launched ReGenAI, the first generative AI that automatically regenerates in real-time. Most recently valued at $4.1B, our technology is leveraged by more than two-thirds of the Fortune 50 and half of the Fortune 100 companies who all rely on our AI because we do something that others cannot do.

Watch our CEO Ted Bailey, discuss the Future of Real-Time Information, the breadth of customers who trust Dataminr, and our proprietary ReGenAI technology here .

At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations are able to respond to events. We operate all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of client charged with the responsibility to keep organizations running and keep people safe.

Duties

Design, develop, and maintain full-stack AI-driven web applications and microservices using Python, Java, and React, delivering both high-quality prototype systems and production-ready applications that meet performance and reliability standards.

Build, deploy, and optimize RESTful API backend services using FastAPI and Flask frameworks; implement and consume APIs across distributed application layers to support real-time document processing and large-scale data pipelines.

Develop and maintain frontend user interfaces using React, including researcher dashboards, administrative consoles, and data visualization components, applying user interaction best practices.

Integrate large language model (LLM) APIs and retrieval-augmented generation (RAG) pipelines - including prompt engineering, cost optimization, hallucination heuristics, and output evaluation - into production software systems to enable intelligent document processing, semantic search, and automated generation capabilities.

Design and implement data storage, retrieval, and management solutions using relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB); manage document-scale data operations and data integrity across large corporations.

Deploy, manage, and monitor containerized microservice applications on AWS cloud infrastructure using Docker, applying scalability and operational efficiency best practices across development and production environments.

Collaborate with AI researchers, product managers, designers, and cross-functional engineering teams to design and implement human-AI workflow tools and applied AI research products, owning end-to-end development of key platform components.

Requirements

This position requires a Bachelor's degree or equivalent in Computer Science, Computer Engineering, Information Technology, or a closely related field and 3 years of experience in using full-stack AI software development, including AI frameworks, backend API development and frontend development using modern web frameworks.

Must also have each of the following:

• Demonstrated experience working with Python for backend development, data processing, and machine learning or NLP workflow implementation.
• Demonstrated experience with developing backend service with Java or equivalent object-oriented programming language.
• 3 years of demonstrated frontend development experience with JavaScript, of which 2 years must be in React, including component design and integration with REST APIs.
• 2 years of demonstrated experience working in backend framework with FastAPI and/or Flask for building and deploying RESTful web services.
• 2 years of demonstrated experience designing, implementing, and consuming RESTful APIs across distributed application architectures.
• 3 years of demonstrated experience working with relational database systems (PostgreSQL and/or MySQL) and NoSQL databases (MongoDB) for structured and unstructured data management.
• Demonstrated experience implementing search and information retrieval solutions using Elasticsearch.
• 2 years of demonstrated experience integrating LLM APIs and RAG pipeline frameworks, including Langchain, into production AI applications.
• Demonstrated experience working with NLP techniques including named entity recognition (NER), text classification, and topic modeling, using libraries such as NLTK, SpaCy, or Scikit-Learn.
• 2 years of demonstrated experience working and collaborating with AI researchers to develop and deploy AI models into production systems.
• Demonstrated experience containerizing and deploying applications using Docker on AWS cloud infrastructure, i