 
						Conversational AI Engineer
1 week ago
About Us
Rockstar is a US startup at the intersection of AI and Telecom, building the future of digital connectivity. We're not just reimagining telco - we're creating an entirely new category of AI-native mobile experiences.
About the Role
We're looking for a
Conversational AI Engineer
to design, build, and optimize next-gen intelligent chatbots that transform customer engagement. If you're passionate about AI/ML, natural language processing (NLP), and building human-like conversational experiences, this role is for you.
You'll lead the development of end-to-end chatbot solutions - designing workflows, integrating APIs, crafting prompts, and building tools that power seamless customer journeys across support, billing, and more.
This is a
rare opportunity to join a 0-1 journey with a seasoned team and top-tier advisors to shape the way millions interact with AI-powered systems in real time
.
What You'll Do
- Design Conversational Flows:
 Build and optimize intelligent customer support experiences on the
 Maven AGI
 platform
- Integrate APIs:
 Connect chatbots with CRM, billing, ticketing, and enterprise systems
- Engineer Prompts:
 Write effective LLM-driven prompts to improve accuracy and engagement with workflow automation
- Optimize Performance:
 Continuously monitor KPIs (deflection rate, accuracy, CSAT) and refine flows
What We're Looking For
- 3+ years of experience in
 conversational AI / chatbot development
 (LLM-based preferred)
- Strong background in
 API development & integration
 (REST, Webhooks)
- Hands-on
 NodeJS
 experience for chatbot workflows
- Familiarity with
 prompt engineering
 and working with LLMs (RAG pipelines, fine-tuning)
- Experience with customer support platforms (Zendesk, Salesforce, Freshdesk)
- Problem-solving, debugging, and independent delivery mindset
Why Join Us?
- Be at the
 forefront of Conversational AI
 , shaping the next wave of intelligent customer engagement
- Work in a
 startup-style environment
 with ownership and freedom to innovate
- Work with
 seasoned operators who have built unicorns
 before
- Collaborate with
 AI-first teams
 where ideas move fast and execution matters
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