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Tier-1 brand, generalist backend title, mid-level experience, and metro location increase candidate competition.
Core backend and cloud skills transfer broadly, but agentic-AI and MarTech focus adds moderate domain bias.
Multiple explicit years and mandatory backend, AWS, and agentic-AI skills indicate strict filters.
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Design, develop, and maintain backend services and APIs for AI and agentic AI applications using Python.
Integrate agentic AI frameworks (Langgraph, Langchain, Autogen, Google ADK) to build autonomous marketing solutions and deploy applications securely and scalably on AWS.
Leverage AI-assisted development tools within the SDLC to improve code quality and delivery speed while ensuring secure, maintainable, and reliable production performance.
3+ years of formal training or experience in Java concepts and application development.
2+ years of backend software development experience with Python, including RESTful APIs and microservices architecture.
At least 1 year hands-on experience with agentic AI frameworks such as Langgraph, Langchain, Autogen, or Google ADK.
Experience deploying and managing applications on AWS (EC2, Lambda, S3) with exposure to CI/CD pipelines and DevOps practices.
Experienced in backend and cloud-native development with strong focus on AI-driven marketing tech or related domains such as MarTech or AdTech.
Proficient in applying AI-assisted code generation tools critically within a secure software development lifecycle.
Capable of collaborating across teams (data scientists, product, MarTech) to deliver scalable, autonomous AI solutions while adhering to responsible AI and security practices.