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Metro location and mid-level role raise applicant competition despite niche AI focus.
Role requires specialized LLM/Voice AI and telephony experience, limiting cross-industry transferability.
Explicit years, mandatory LLM experience, and required backend/cloud skills make screening stringent.
Design, build, deploy, and optimize production-grade voice AI agents end-to-end, including conversation design and tool integration.
Develop and maintain scalable backend integrations (REST APIs, WebSockets, CRM callbacks) connecting AI platform with enterprise systems.
Lead client technical engagement, including workshops and live-call reviews, owning agent performance and troubleshooting in client environments.
3-5 years software development experience with at least 2 years shipping live LLM/AI applications (agents, RAG, chatbots); voice experience is a plus.
Proficiency in Python or Java for backend and integration development.
Hands-on experience with cloud platforms (preferably GCP), APIs, WebSockets, and auth protocols (OAuth2, JWT).
Strong client-facing communication skills and willingness to travel for on-site client workshops. Notice period: Not explicitly mentioned in the JD.
Experienced in end-to-end AI agent development and integration, comfortable working deeply within enterprise client environments.
Technically proficient in backend engineering, cloud services, and AI orchestration frameworks like LangChain or OpenAI APIs.
Able to lead technical discussions and manage expectations with enterprise clients during on-site deployments and live system reviews.