Senior AI Software Engineer

Senior Ai Software EngineerCredence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers.Responsibilities include, but are not limited to the duties listed below:Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations.Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents.Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery.Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions.Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.Write clean, well-documented code following industry and federal guidelines; support reproducible development.Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews.