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Tier-1 brand, mid-level backend role, popular software title, and metro hiring drive high candidate competition.
Core backend, Python, and cloud skills are broadly transferable, though agentic AI/MarTech experience narrows fit somewhat.
Multiple explicit years, Python/backend, AWS, and agentic-AI framework requirements increase shortlisting strictness.
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Design, develop, and maintain backend services for AI/Agentic AI applications using Python and integrate agentic frameworks like Langgraph and Langchain to enable AI-driven marketing solutions.
Develop APIs and microservices supporting AI-based marketing workflows, ensuring scalable, secure deployment on AWS.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity, including validation and secure coding standards.
3+ years applied experience with formal training or certification in Java concepts.
2+ years backend software development experience with Python and 2+ years with RESTful APIs, microservices, and cloud-native development.
Minimum 1 year hands-on experience with agentic AI frameworks such as Langgraph, Langchain, Autogen, or Google ADK.
Experience deploying/managing applications on AWS including CI/CD and DevOps practices.
Experienced in delivering robust, scalable AI-powered marketing technology solutions using Python and agentic AI frameworks.
Proficient with AWS cloud services and integration of AI tools into software development lifecycles, including hands-on AI-assisted coding tools.
Ability to collaborate with cross-functional teams (data scientists, product managers, MarTech stakeholders) for feature delivery in agile environments.