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Tier-1 brand, metro location, and mid-level generalist backend role attract high applicant competition.
Core backend and Python skills are transferable, but AI platform and ad-tech specifics add domain constraints.
Explicit 5+ years plus mandatory backend, Python and LLM integration experience makes screening stringent.
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Develop and maintain backend services and APIs for AI agent frameworks, orchestration layers, and shared AI platform components supporting ad technologies.
Implement integrations with LLM providers and build reusable AI application components to enable scalable, production-ready AI systems.
Collaborate with global AI Core engineering teams and cross-functional partners to align on feature development and ensure platform reliability, scalability, and observability.
5+ years of backend software engineering experience building scalable systems.
Strong proficiency in Python with backend services and API development experience.
Familiarity with LLM APIs and agent orchestration frameworks like LangGraph or LangChain.
Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred), or equivalent experience.
Experienced in developing AI-powered backend platform services with production deployment focus.
Comfortable working in distributed teams aligned across timezones, especially collaborating between Bangalore and U.S. engineering groups.
Proficient in integrating external APIs, managing cloud environments (AWS/GCP/Azure), and implementing CI/CD and automated testing for platform quality.