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Tier-1 brand, mid-level ML title, metro location, and generalist engineer role increase competition.
Requires niche LLM agent and production ML expertise, limiting cross-industry transferability.
Requires 5+ years and specific LLM/agent production experience, making shortlisting highly selective.
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Develop and own production AI agent systems for marketing workflow automation, including planning, orchestration, tool use, and integration with large language models.
Build and maintain evaluation and reliability systems to monitor agent task success, compliance, and brand safety.
Make core architecture decisions and lead technical delivery from system conception to production in collaboration with product, research, and engineering teams.
5+ years of engineering experience with hands-on work building and shipping large language model (LLM) based agentic systems in production.
Strong software engineering skills in Python, data structures, algorithms, distributed systems, and API composition.
Experience building evaluation systems for non-deterministic software and managing systems from initial release to live deployment.
Work Experience Required: 5+ years engineering experience with recent production delivery on LLM agent systems.
Experienced in designing multi-step planning, tool/function calling, orchestration, and long-running task automation with LLMs.
Proven ability to operate in fast-paced, ambiguous environments like startups or similar settings, owning end-to-end systems.
Technical leadership in architecture choices and mentorship of engineers to uphold high standards of code quality and delivery speed.