Jobs at Credence

Designs and deploys cloud-native data and AI solutions for federal missions. Builds pipelines for generative AI and LLMs, engineers data lakes and warehouses, manages SQL and NoSQL systems, and develops vector database and RAG capabilities. Collaborates on agentic AI systems, automates deployment with IaC and CI/CD, monitors production performance, and documents reliable, scalable implementations. The role also requires staying current with AI technologies and supporting technical growth through collaboration and mentorship.

Design, develop, and deploy generative AI, LLM-powered, and agentic systems for federal clients. Lead engineering best practices, implement secure integrations, enable cloud/DevSecOps pipelines, monitor production performance, and mentor engineers while collaborating across data, cloud, and stakeholder teams.

Designs, develops, tests, deploys, and modernizes secure enterprise software, APIs, microservices, and cloud-native applications. Integrates generative AI, LLMs, RAG, and agentic workflows into production systems; supports DevSecOps, automation, monitoring, and sustainment. Builds analytics, forecasting, and decision-support tools for defense aviation, logistics, and supply chain missions. Provides technical leadership, mentorship, stakeholder collaboration, and architectural guidance.

Support an Air Force logistics forecasting and AI data analytics product at Warner Robins, Georgia. Apply hands-on knowledge of ILSS, ALMSS, D035K, and USAF material-management supply datasets to define effective workflows and improve value for logistics users. Responsibilities include supporting vendor-data intake, data sharing, auditability, maintenance analysis, fleet-readiness planning, cost and funding tools, system maintenance, user training, technical assistance, and cybersecurity support.