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Remote mid-level role with SDE background requirement and niche LLM skills, moderate competition.
LLM prompt engineering and API automation transferable, but agentic AI experience favors CX and automation domains.
Explicit 4–7 year requirement plus mandatory prompt engineering, API integration, and resilient-systems experience.
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Design and implement high-quality prompts and workflows for LLM-based autonomous AI agents using a no-code platform.
Integrate and manage external and internal APIs with authentication, data mapping, and error handling to support agentic automation.
Ensure reliability and performance of agent workflows through unit testing, debugging, and applying engineering best practices such as retries and fault tolerance.
4–7 years of experience as a Software Development Engineer or similar role.
Strong understanding of prompt engineering and large language model (LLM) behavior.
Hands-on experience with REST APIs, webhooks, and JSON-based integrations.
Experience with unit testing, debugging, and resilient system design patterns including non-happy path handling.
Experience building or scaling agentic or autonomous AI workflows and tools within no-code or low-code platforms.
Practical knowledge of engineering production-grade AI systems with a focus on reliability, performance, and cost optimization.
Collaborative work style partnering with cross-functional teams such as Product, QA, and Delivery to drive solutions to production.