As an AgenticAI Software Engineer, you will design and build critical technology solutions across Company AI components, including Company Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance.
Responsibilities:
- Executes software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems
- Creates secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture
- Adopts and learn new technologies that positively impact agentic solutions
- Collaborates with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions
- Ensures compliance with security, privacy, and regulatory requirements in all software solutions
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Requirements
- Strong proficiency in Python and Java, with hands-on experience developing and supporting production-grade applications
- Demonstrated experience building, deploying, and maintaining Agentic AI solutions in enterprise environments
Hands-on experience with the following technologies:
- Python
- Java
- LangGraph
- vLLM
- Experience designing and orchestrating multi-agent workflows, tool integrations, and autonomous decision-making frameworks
- Ability to develop, test, and optimize AI-driven applications that leverage large language models, agent frameworks, and retrieval capabilities
- Strong understanding of API development, microservices architectures, and integration patterns within modern software ecosystems
- Experience troubleshooting, monitoring, and supporting AI-enabled applications in production environments
- Familiarity with responsible AI practices, model governance, security considerations, and enterprise development standards
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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