Key Responsibilities :

AI Agent Development :

- Design, build, and deploy AI-powered conversational agents for voice and WhatsApp channels.

- Develop intelligent customer interaction workflows using Large Language Models (LLMs).

- Create scalable and reliable conversational experiences for automotive retail use cases.

- Implement AI agent orchestration and automation workflows.

Integration & Automation :

- Integrate AI agents with third-party systems using :

1. REST APIs

2. Webhooks

3. Twilio

- Connect conversational agents with CRM, lead management, and dealership systems.

- Ensure seamless data flow between applications and communication channels.

Prompt Engineering & Optimization :

- Design, test, and optimize prompts for improved AI performance.

- Fine-tune conversational flows to improve accuracy, relevance, and user experience.

- Monitor AI responses and continuously improve conversation quality.

Testing & Quality Assurance :

- Conduct QA testing for AI conversations and workflows.

- Identify conversational gaps, edge cases, and failure scenarios.

- Validate performance, reliability, and scalability of deployed agents.

Collaboration :

- Work closely with Product, Engineering, and Business teams.

- Participate in design discussions and solution architecture reviews.

- Support deployment, monitoring, and ongoing improvements.

Required Skills :

- 3 to 6 years of software development or AI engineering experience.

- Experience building conversational AI applications.

- Strong understanding of :

1. REST APIs

2. Webhooks

3. Twilio

- Hands-on experience with prompt engineering and LLM-based applications.

- Experience working with voice bots, chatbots, or WhatsApp automation solutions.

- Knowledge of API integrations and workflow automation.

- Strong debugging and problem-solving skills.

Preferred Skills :

- Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.

- Knowledge of conversational AI frameworks.

- Experience with LangChain, LangGraph, CrewAI, AutoGen, or agentic AI frameworks.

- Exposure to vector databases and Retrieval-Augmented Generation (RAG).

- Understanding of customer engagement and CRM systems.

- Experience in automotive, retail, or customer service domains.

Education :

- Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field.