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Tier-1 employer and mid-level (4+ years) increases competition despite specialized LLM skillset.
Specialized LLM, agentic workflows, and production AI focus limit cross-industry transferability.
Explicit 4+ years and mandatory LLM, agent frameworks, Python, and production AI experience enforce strict filters.
Analyze and address complex customer-impacting engineering issues using AI-driven automation.
Build AI-powered tools, workflows, and evaluation frameworks for diagnosing, troubleshooting, and preventing customer issues involving LLMs.
Collaborate with internal teams to integrate AI capabilities, develop reusable AI patterns, and measure solution effectiveness through engineering metrics such as accuracy, resolution time, and automation rate.
4+ years of professional experience.
Hands-on experience with LLM application development, including prompt engineering and function/tool calling.
Proven experience in AI agentic workflows and orchestration frameworks such as LangGraph or LangChain.
Strong Python/software engineering skills for deploying and optimizing AI workloads; working knowledge of enterprise software platforms and APIs.
Early-career technical implementer comfortable translating detailed requirements into technical tasks within structured environments.
Experienced in building and iterating AI solutions focusing on reliability, latency, cost, and security in production.
Capable of documenting solutions and communicating technical progress clearly to technical and customer teams under guidance.