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Mid-level metro role with niche LLM/voice specialization and moderate applicant competition.
Specialized LLM and voice integration skills limit cross-industry transferability.
Explicit 3-5 years plus 2+ years LLM experience and required backend/cloud skills.
Design, build, deploy, and optimize production-grade voice AI agents end-to-end including conversation design and backend integrations with client systems.
Implement AI orchestration using frameworks like LangChain and OpenAI APIs to deliver intelligent workflows.
Lead client technical engagements, conduct workshops, manage expectations, and perform on-site live-call reviews for agent performance monitoring and debugging.
3-5 years software development experience, with at least 2 years shipping live LLM/AI applications (agents, RAG, chatbots); voice AI experience preferred but not mandatory.
Proficiency in Python or Java for backend development and scalable API integrations.
Hands-on experience with cloud platforms (preferably GCP) and knowledge of APIs, WebSockets, and authentication protocols such as OAuth2 and JWT.
Strong client-facing communication skills and willingness to travel for client workshops and deployment reviews.
Experienced in end-to-end ownership of AI agent production deployment and iteration, with ability to independently debug and optimize system performance.
Skilled in backend integration with enterprise APIs and cloud services, comfortable analyzing data via SQL and Python for system observability and root cause analysis.
Capable of managing client relationships and technical leadership in complex AI solution delivery involving voice or conversational AI systems.