Design, develop, test, and deploy scalable software and Agentic AI solutions to support enterprise automation, intelligent workflows, and customer engagement platforms
Build and enhance AI-enabled applications, backend services, APIs, and integration components using modern software engineering and cloud-native best practices
Develop and implement multi-step AI workflows, orchestration logic, and agent-based systems leveraging LLMs, RAG architectures, and AI automation frameworks
Contribute to the design of microservices and distributed systems supporting real-time voice and text-based customer interactions at scale
Collaborate with cross-functional engineering, AI, platform, and product teams to deliver secure, reliable, and high-performing AI-driven solutions
Evaluate emerging AI technologies, frameworks, and engineering practices to support innovation and align with business and technology strategy
Implement AI reliability, monitoring, observability, security, and governance best practices, including guardrails and human-in-the-loop workflows
Create and maintain technical documentation for software solutions, AI workflows, APIs, system architecture , and operational processes
Mentor team members through technical guidance, code reviews, knowledge sharing, and adoption of AI engineering best practices
Support continuous improvement initiatives, operational excellence, and other engineering projects as assigned by business leadership

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field
4-7 years Technical engineering experience
Strong communication, collaboration, and customer-focused problem-solving skills
Strong analytical, troubleshooting, and technical documentation abilities
Experience developing scalable software applications and AI-enabled services using Python, Java, or C++
Experience with cloud-native distributed systems, APIs, microservices, and real-time integration platforms
Familiarity with LLMs, conversational AI, agentic AI workflows, and AI orchestration frameworks
Experience building AI-driven automation, RAG solutions, and enterprise AI integrations
Understanding of scalability, reliability, observability, and secure software engineering best practices for production AI systems
At least 18 years of age
Legally authorized to work in the United States

Senior Software Engineer, Agentic AI

Key skills