Customer Implementation Engineer(Agentic AI)(Night Shift)

Work Hours: Night Shift (7:00 PM - 3:00 AM IST) 

Location: Bengaluru

In-Office Expectation: This role is primarily shift-based. As the office does not currently operate between 8:00 PM and 8:00 AM, work during these hours will be performed remotely until further notice. The Company reserves the right, at its sole discretion, to modify office operating hours and require in-office work in the future.

Employees may be required to work onsite on an occasional basis for team collaboration, meetings, or other business needs. Accordingly, candidates must be based in Bengaluru and maintain the ability to work from Nextiva’s office located at Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048, as required.

Specific work schedules and any flexibility will be determined by the employee’s reporting manager in alignment with business requirements and team collaboration needs.

This role serves as a growth path into AI Solutions Engineering, Product Specialist opportunities, or Customer Success Leadership. At Nextiva, all team members working a standard shift are expected to work onsite, supporting a highly collaborative, in-person team environment. 

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About the Role:

Nextiva is looking for a passionate and detail-oriented AI Implementation / Customer Success Engineer to help deploy AI solutions for customers, design high-quality conversational experiences, and manage end-to-end agent implementations. This role blends technical skills, prompt engineering, workflow design, and customer-facing responsibilities to ensure successful delivery of AI-driven customer experience products. 

You will work closely with product, engineering, and customer success teams to translate business needs into scalable AI workflows and optimized conversational agents. 

Key Responsibilities:

AI Agent Implementation & Prompt Engineering 

• 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.  

Customer-Facing Implementation 

• 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.

Workflow & Integration Management 

• 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.

Conversation & Experience Design 

• 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.

Technical Skills & Development 

• 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.

Cross-functional Collaboration & Documentation 

• Work with product teams to relay customer feedback and improve platform features.
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