Protagonist

HQ
San Francisco
25 Total Employees
Year Founded: 2004

Jobs at Protagonist

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Recently posted jobs

3 Days AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Build and test backend APIs, React and TypeScript interfaces, data pipeline steps, and AI-powered features for the Narrative Analytics platform. Work with Python, Django REST Framework, Metaflow, OpenSearch, AWS, and LLMs while collaborating with engineers, data scientists, and analysts. Responsibilities include writing code, evaluating prompts, troubleshooting deployments, upgrading dependencies, and fixing production issues.
3 Days AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Develop and scale Protagonist’s Narrative Analytics platform using Python, React, and AWS. Build backend services, APIs, frontend functionality, microservices, infrastructure, and data-processing pipelines supporting NLP and search. Collaborate with data scientists and engineers to productionize research prototypes, participate in code reviews and Agile planning, and contribute to architectural discussions. The role is hybrid in Washington, DC and requires eligibility for a U.S. Government security clearance.
One Month AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Own and develop production systems across backend services, data infrastructure, AI/LLM workflows, and React/TypeScript applications. Build LLM-powered agents and RAG systems on AWS Bedrock, develop scalable ML and data pipelines, and design PostgreSQL, OpenSearch, Kafka, Redis/Celery, and Kubernetes-based architectures. Partner with technical leadership on system design and roadmap decisions while translating customer and analyst needs into reliable software.
2 Months AgoSaved
In-Office
Washington, DC, USA
Information Technology • Analytics • Consulting
Build and operate production machine learning systems focused on multilingual NLP, including entity linking, classification, event extraction, deduplication, and narrative analysis. Develop GPU-accelerated workflows, fine-tune transformer models, and create LLM features such as RAG pipelines and agents on AWS Bedrock. Establish evaluation frameworks, integrate ML services into Django and event-driven platforms, lead technical architecture discussions, and mentor team members.