Jobs at ExTrac AI

Conduct intelligence collection and analysis on MENA political, security, geopolitical, extremist, and online developments. Monitor Arabic and English sources, translate and assess Arabic material, curate and verify sources, produce time-sensitive analytical reporting, and maintain structured intelligence data. The role also involves quality assurance, mentoring junior analysts, client briefings, methodology development, and integrating AI-assisted workflows into research and analysis.

Build and operate backend microservices, APIs, databases, and high-throughput data pipelines using Go and Python. Improve system scalability, latency, reliability, observability, and search performance. Collaborate with AI, frontend, product, and analyst teams to deliver features, while contributing to deployment pipelines, infrastructure, security, and shared engineering foundations.

Conduct intelligence collection, analysis, and reporting on MENA political, security, extremist, and online developments. Monitor Arabic and English sources, translate and assess material, curate and verify sources, maintain structured intelligence data, and produce time-sensitive analytical products. The role also involves quality assurance, mentoring junior analysts, client briefings, methodology development, and integrating AI into research workflows.

Design, train, evaluate, and deploy machine learning and agentic systems for large-scale geopolitical analysis. The role involves model serving, retrieval systems, evaluation and benchmarking, production architecture, scalable workflows, and collaboration with software engineering, product design, domain experts, and senior stakeholders. Candidates will take projects from research and prototyping through reliable production deployment while maintaining high standards for code, architecture, and research practice.

Build and operate production AI backend services in Python and Go, including multi-agent orchestration, retrieval, graph analytics, APIs, databases, and streaming pipelines. Own well-defined features end to end, evaluate improvements against analyst traffic, integrate ML models, and improve system reliability, latency, cost, and scalability. Collaborate with analysts, product, data, and ML teams while contributing to cloud infrastructure, deployment, and production operations.

Build and operate production AI systems for intelligence analysts, including multi-agent orchestration, retrieval, graph analytics, streaming pipelines, APIs, databases, and cloud infrastructure. Own services end to end across Python and Go, evaluate AI improvements using live traffic, integrate ML models, and collaborate with analysts, product, data, and research teams. The role requires autonomous technical leadership, strong systems engineering, production reliability, observability, security, and rapid experimentation.

Build and operate production backend microservices and data pipelines using Go and Python. Design APIs, databases, distributed systems, and cloud infrastructure; optimize search, storage, latency, scalability, and reliability. Own services end to end, improve deployment and observability foundations, and collaborate with AI, frontend, product, and analyst teams. The role requires autonomous technical leadership, production engineering judgment, and security-conscious development.