Technical Customer Success Specialist in a team developing web data gathering solutions. Providing exceptional customer experience and support for B2C/B2B clients.
About the role
- AI Implementation Engineer responsible for deploying and managing AI solutions for customer success at Nextiva. Collaborating with teams to enhance customer experiences and AI-driven workflows.
Responsibilities
- Design, build, and optimize AI agents using advanced prompt engineering techniques.
- Create structured workflows and decision trees that guide AI agent behavior.
- Use 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.
- Work 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.
- Build, maintain, and optimize automation workflows using platform workflow builders.
- Integrate agents with customer tools, APIs, CRMs, or communication platforms where needed.
- Troubleshoot workflow, configuration, or data issues during implementation.
- Create high-quality conversation flows for AI agents, ensuring clarity, tone, and brand alignment.
- Apply AI conversation design principles to improve user satisfaction and agent performance.
- Use basic Python for data handling, API interactions, testing, or workflow extensions.
- Work with GenAI technologies, SaaS tools, and no-code/low-code integration platforms.
- Perform evaluation and tuning of AI prompts, workflows, and agent performance.
- Work with product teams to relay customer feedback and improve platform features.
- Maintain clear documentation for workflows, prompts, integrations, and customer implementations.
- Train customers and internal teams on product capabilities and best practices.
Requirements
- 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 strongly preferred
- Excellent spoken and written English, with the ability to clearly explain technical and AI-driven processes to non-technical audiences.
- Comfortable leading customer discussions, gathering requirements, and explaining issues, solutions, and next steps with clarity and confidence.
- Strong hands-on experience with LLMs (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 safe AI output design.
- 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.
Benefits
- Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
- Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
- Work-Life Balance - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
- Financial Security - Provident Fund & Gratuity
- Wellness - Employee Assistance Program and comprehensive wellness initiatives
- Growth - Access to ongoing learning and development opportunities and career advancement
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