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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level metro role at a known startup, but specialized LLM and telephony skills moderate applicant density.
Role requires specialized conversational AI, telephony, and prompt engineering skills, limiting cross-industry transferability.
Explicit 1–5 years plus mandatory LLM, prompt engineering, integration and telephony skills create strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end delivery of AI agents from design, integration, testing, demos, to deployment and iteration in customer environments.
Lead client technical engagements including demos, feedback gathering, and translating requirements into scalable AI voice and chat agent solutions.
Configure and integrate systems via APIs, set up telephony routing, design prompts, optimize agent performance, and troubleshoot integration issues.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related technical field.
1-5 years experience in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications with hands-on implementation.
Strong skills in prompt design, workflow building, API integration (including SIP, Twilio, Amazon Connect).
Work Experience Required: 1-5 years in relevant fields as described.
Ideal Candidate Profile
Experienced in customer-facing technical roles capable of communicating complex AI/technical concepts to non-technical stakeholders.
Hands-on with LLM technologies (e.g., GPT, Claude), and orchestration frameworks like LangChain or LlamaIndex, with knowledge of RAG implementation.
Proficient in system integration, telephony setup, and adapting AI solutions in diverse enterprise ecosystems with strong problem-solving skills.