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Remote role with mid-level experience and known agency brand increases applicants, but niche agentic LLM skills temper density.
Requires specialized LLM, agent orchestration, and unstructured-data production experience, limiting cross-industry transferability.
Explicit 5+ years plus mandatory production LLM, orchestration framework, and AWS experience raise filter strictness.
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Design and build the agent orchestration layer responsible for workflow state management, event-driven agent execution, and next-best-action logic.
Integrate Large Language Models (LLMs) via a provider-agnostic layer and process unstructured inputs into actionable structured data.
Establish human-in-the-loop approval flows, evaluation and tuning loops, and collaborate across frontend, product, and client teams to deliver end-to-end AI agentic solutions.
5+ years of experience shipping production software, preferably with hands-on work on LLM-powered or agentic applications involving tool-calling, structured outputs, retrieval-augmented generation (RAG), and prompt iteration.
Experience with orchestration frameworks (e.g. LangGraph.js, Vercel AI SDK, Mastra) and LLM provider SDKs (Anthropic, OpenAI).
Experience designing scalable systems on AWS and working with unstructured data including parsing, extraction, and validation.
Strong English communication skills.
Proven ability to work with undefined or ambiguous problems and drive solutions independently in a fast-paced, agile consulting environment.
Deep expertise in AI/ML application engineering with a focus on agentic systems and measurable evaluation-driven improvements.
Experience collaborating closely with cross-functional teams including product, frontend, and client domain experts to translate real-world workflows into automated AI systems.