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Mid-level metro role with common 3-6y band, increasing candidate density despite niche AI-telephony specialization.
Strong specialization in LLM-based voice agents and telephony integrations limits transferability across industries.
Explicit 3-6y requirement plus mandatory LLM shipping, backend, and cloud experience increases strictness.
Design, build, deploy, and optimize production Voice AI agents end-to-end including conversation design and tool-calling logic.
Develop scalable backend integrations (REST APIs, WebSockets, webhooks) connecting AI platform with client enterprise systems.
Lead client technical workshops, perform root-cause analysis for system issues, and continuously improve agent performance metrics in production.
3-6 years software development experience with at least 2 years shipping live LLM/AI applications such as agents, RAG, or chatbots.
Proficiency in Python or Java for backend architecture and integration.
Hands-on experience with cloud platforms (preferably GCP) and knowledge of APIs, WebSockets, and authentication protocols (OAuth2, JWT).
Strong client-facing communication skills and willingness to travel for on-site workshops.
Experience working directly with clients in deployment and technical leadership roles to deliver AI solutions.
Skilled in integrating and orchestrating AI/LLM frameworks like LangChain and OpenAI APIs in production.
Comfortable with data analysis and operational troubleshooting to continuously optimize AI agent performance.