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Tier-1 brand, metro location, and a mid-level popular ML role increase applicant competition.
Highly specialized LLM agent and production ML requirements limit cross-industry transferability.
Explicit 5+ years requirement and mandatory LLM agent production experience raise shortlisting rigor.
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Develop and deliver production agent systems leveraging large language models for marketing automation, owning crucial components such as orchestration, planning, agent memory, and data retrieval.
Build and maintain evaluation and reliability frameworks addressing task success, grounding, regression, and compliance to ensure high agent performance.
Make architectural decisions, collaborate across product and research teams to translate agent research into features, and mentor engineers maintaining high code quality and delivery speed.
5+ years of engineering experience with recent hands-on development and deployment of LLM-based applications in production.
Proven experience building agentic systems on LLMs, including multi-step planning, tool/function calling, orchestration, and long-running task management.
Strong software engineering skills in Python, algorithms, data structures, distributed systems, and API composition.
Experience creating evaluation systems for non-deterministic software and owning systems from release through live deployment.
Experienced in startup or fast-paced environments handling ambiguity and prioritizing product judgment.
Deep familiarity with agent frameworks (e.g., LangGraph) and LLM tooling (vLLM, Hugging Face, Weights & Biases) is advantageous.
Background or interest in marketing technology, creative/content workflows, or automation products, ideally with open-source contributions and advanced degrees in CS or related fields.