Posted Apr 29, 2026
As an AI Implementation / Customer Success Engineer at Nextiva, you will play a crucial role in deploying AI solutions for customers, designing high-quality conversational experiences, and managing end-to-end agent implementations. Your responsibilities will include:
AI Agent Implementation & Prompt Engineering:
Design, build, and optimize AI agents using advanced prompt engineering techniques. - Create structured workflows and decision trees to guide AI agent behavior. - Utilize LLMs such as GPT-4o, Gemini, Claude, Llama, etc., to build, test, and refine agents. - Implement function-calling / tool-calling capability within prompts using simple UI builders. - Configure constraints and guardrails to reduce hallucinations and ensure reliable outputs. - Customer-Facing Implementation:
Collaborate directly with customers to understand business needs, use cases, workflows, and integration requirements. - Translate customer requirements into technical implementation plans. - Assist in onboarding, deployment, and testing of AI solutions for customer environments. - Provide ongoing optimization and support to ensure solution adoption and success. - Workflow & Integration Management:
Build, maintain, and optimize automation workflows using platform workflow builders. - Integrate agents with customer tools, APIs, CRMs, or communication platforms as necessary. - Troubleshoot workflow, configuration, or data issues during implementation. - Conversation & Experience Design:
Develop high-quality conversation flows for AI agents, ensuring clarity, tone, and brand alignment. - Apply AI conversation design principles to enhance user satisfaction and agent performance. - Technical Skills & Development:
Utilize basic Python for data handling, API interactions, testing, or workflow extensions. - Work with GenAI technologies, SaaS tools, and no-code/low-code integration platforms. - Conduct evaluation and tuning of AI prompts, workflows, and agent performance. - Cross-functional Collaboration & Documentation:
Collaborate with product teams to relay customer feedback and enhance platform features. - Maintain clear documentation for workflows, prompts, integrations, and customer implementations. - Train customers and internal teams on product capabilities and best practices. Qualifications Required:
Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field. - 1+ years of experience in AI product implementation, customer success engineering, or technical support roles. - Prior experience supporting US-based customers is strongly preferred. - Excellent spoken and written English, with the ability to explain technical and AI-driven processes clearly to non-technical audiences. - Strong hands-on experience with LLMs like GPT-4o, Gemini, Claude, etc., for building agents and prompts. - Solid understanding of Generative AI concepts, prompt engineering, and workflow design. - Basic knowledge of Python, APIs, and SaaS tools. - Experience in customer support/onboarding/technical implementation. - Ability to manage hallucinations, constraints, and design safe AI outputs. - Experience with workflow builders and no-code automation platforms. - Good analytical, problem-solving, and debugging skills. - Willingness to work night shifts to collaborate with global teams or customers.
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