Agentic AI Python Developer

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: PythonJavaLangGraphvLLMExperience 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. Core Technical Skill Set Candidates should have experience with: Development & AIPython and/or Java Agentic AI systems Understanding of MCP (Model Context Protocol) Bot/server-side systems Containerization and orchestrationAWS (preferred) Data & Streaming KafkaNoSQL databases Real-time streaming architectures DevOps & OperationsCI/CD pipeline development and management Testing strategies Monitoring and alerting Production Support Strong focus on production stability Monitoring tools such as: Splunk DynatraceCandidates should be proficient in AI concepts and technologies. AI expertise is important, although it may not be heavily emphasized during interviews.