Artificial Intelligence (AI) Engineer

• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.
• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.
• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.
• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.
• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.
• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.
• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.
• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.

• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents. Requirements - Bachelor’s degree in computer science, a related discipline, or equivalent practical experience.
• At least 3 years of experience in software engineering, including 2 or more years working with Python in frameworks such as Flask or Django.
• Demonstrated hands-on experience with Anthropic tools and Claude Console in a production setting.
• Strong background in designing and supporting RESTful services, along with proficiency using Git for version control.
• Practical experience working with relational databases and writing efficient SQL for platforms such as MySQL or PostgreSQL.
• Ability to build, troubleshoot, and improve agent-based workflows, including multi-turn tool usage, recovery handling, and validation patterns.
• Familiarity with DevOps practices such as Docker, CI/CD pipelines, and cloud deployment environments like AWS or Azure.
• Strong communication and problem-solving skills, with the ability to explain AI system behavior, limitations, and tradeoffs to non-technical audiences. Technology Doesn’t Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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