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Tier-1 brand, Bengaluru location, mid-level/senior ML manager and broad LLM requirements raise competition.
Role requires specialized LLM and ML engineering experience, limiting cross-industry transferability.
Explicit 5+ years and mandatory hands-on LLM production, agent and evaluation experience create strict filters.
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Develop and build production AI agent systems leveraging large language models to automate marketing workflows from campaign briefing to launch.
Own the full lifecycle of a core agent stack component, including orchestration, tool/function-calling layers, memory/state management, or data retrieval for brand/assets.
Design and implement evaluation and reliability mechanisms ensuring task success, brand safety, compliance, and robustness of agent systems, while collaborating with cross-functional teams to ship features.
5+ years of engineering experience with recent hands-on work building and shipping LLM-based applications in production.
Strong software engineering skills in Python, data structures, algorithms, distributed systems, and API design.
Experience building multi-step agentic systems involving planning, tool/function calling, orchestration, and long-running task management.
Experience owning software systems from initial release through live deployment.
Experienced in architecting and scaling agentic AI systems with a strong emphasis on reliability and evaluation frameworks.
Comfortable making build-versus-buy architectural decisions and raising engineering standards in a fast-paced, ambiguous environment.
Background in startups or similar fast-moving environments, with product judgment related to AI-powered marketing or workflow automation domains.