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Senior Software AI Engineers
Datum Technologies Group
2 hours ago
Full-time
On-site
Phoenix, Arizona, United States
Agent Gateway + Ai Experience
Build governed model routing, agent-to-agent and MCP connectivity, SDK migration utilities, reusable integrations, and automated controls for production adoption. Python; REST APIs; SDK design; MCP and agent interoperability; integration architecture; CI/CD; automated testing; authentication and authorization; observability; cloud-native engineering. Charlotte, North Carolina Enterprise Experience — Ai Experience Engineers
Develop and operate AI-enabled portal experiences, agents, workflows, and reusable components supporting broad enterprise adoption. Python; LLM frameworks; prompt engineering; RAG; agentic frameworks; REST APIs; vector search; Git and CI/CD; containers and Kubernetes; cloud-native development; production troubleshooting. Charlotte, North Carolina Core Skill Requirements
6-8 years of strong experience in Java development, including proficiency in Spring SpringBoot 2-3 years of experience with Python, focused on backend or data-driven development Strong experience in building and consuming RESTful APIs Strong understanding of Reactive Programming (WebFlux, etc.) Hands-on experience with Apache Kafka for event-driven architecture Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS) Experience with Flink for stream processing and data pipelines GraphQL knowledge AI / Conversational Platform Exposure Strong understanding of Google Dialogflow CX or similar conversational AI frameworks Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks Conceptual understanding of machine learning fundamentals and model telemetry. Additional Skills Strong problem-solving and debugging skills. Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.) Excellent communication skills; ability to collaborate across engineering and product teams Preferred Qualifications Bachelor's or master's degree in computer science, Engineering, or related field. Prior experience in banking, fintech, or digital assistant platforms is an advantage.
Build governed model routing, agent-to-agent and MCP connectivity, SDK migration utilities, reusable integrations, and automated controls for production adoption. Python; REST APIs; SDK design; MCP and agent interoperability; integration architecture; CI/CD; automated testing; authentication and authorization; observability; cloud-native engineering. Charlotte, North Carolina Enterprise Experience — Ai Experience Engineers
Develop and operate AI-enabled portal experiences, agents, workflows, and reusable components supporting broad enterprise adoption. Python; LLM frameworks; prompt engineering; RAG; agentic frameworks; REST APIs; vector search; Git and CI/CD; containers and Kubernetes; cloud-native development; production troubleshooting. Charlotte, North Carolina Core Skill Requirements
6-8 years of strong experience in Java development, including proficiency in Spring SpringBoot 2-3 years of experience with Python, focused on backend or data-driven development Strong experience in building and consuming RESTful APIs Strong understanding of Reactive Programming (WebFlux, etc.) Hands-on experience with Apache Kafka for event-driven architecture Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS) Experience with Flink for stream processing and data pipelines GraphQL knowledge AI / Conversational Platform Exposure Strong understanding of Google Dialogflow CX or similar conversational AI frameworks Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks Conceptual understanding of machine learning fundamentals and model telemetry. Additional Skills Strong problem-solving and debugging skills. Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.) Excellent communication skills; ability to collaborate across engineering and product teams Preferred Qualifications Bachelor's or master's degree in computer science, Engineering, or related field. Prior experience in banking, fintech, or digital assistant platforms is an advantage.