AI | GenAI Engineer (Agentic & Multimodal Systems)
DharmikVibes | Spiritual Platform
2 - 5 years
Gurugram
Posted: 26/02/2026
Job Description
Brands: DharmikVibes.com | DharmikGuide.com
Company: DIVVIB Lifestyle Pvt Ltd
Location: Remote / Hybrid (Gurugram or Bangalore Preferred)
Experience: 13 Years
Employment Type: Full-Time
CTC: 40-60K Per Month + ESOP [As per company policy]
Note: Only apply if you have relevant skills and wants to join a startup.
DIVVIB Lifestyle Pvt Ltd is building intelligent spiritual digital ecosystems through its brands DharmikVibes.com and DharmikGuide.com.
Our focus is on combining advanced AI systems with real-world operational environments - enabling intelligent planning, optimization, personalization, multilingual interaction, and decision intelligence at scale.
We are investing deeply in agentic AI, predictive systems, and multimodal intelligence to build next-generation applied AI infrastructure.
We are hiring a Senior AI | GenAI Engineer to architect and deploy advanced AI systems powered by:
- Claude & modern LLM ecosystems
- MCP (Model Context Protocol)
- Multi-agent orchestration
- Voice + multilingual AI
- Predictive & recommendation systems
- Real-time routing & decision intelligence
This is a core architecture role ideal for someone who thinks in systems, not just prompts.
- Designing intelligent multi-agent systems
- Building structured MCP-driven context architectures
- Developing predictive allocation & recommendation engines
- Creating adaptive routing & decision systems
- Deploying multilingual conversational AI (text + voice)
- Implementing AI-based performance assessment frameworks
- Developing multimodal AI systems (text, image, video, audio)
- Building AI moderation & safety systems
- Design multi-agent workflows with memory, tools, and orchestration
- Implement structured context handling using MCP
- Integrate LLMs with APIs, databases, and live data signals
- Build reasoning-driven AI systems for dynamic environments
- Develop intelligent matching and ranking engines
- Build recommendation systems using profile, history, and behavioral signals
- Design predictive models for demand and allocation optimization
- Implement adaptive decision-support systems
- Build AI systems that analyze:
- Traffic
- Weather
- Density/crowd signals
- Schedule constraints
- Optimize sequencing and routing dynamically
- Improve end-user experience via adaptive planning models
- Build multilingual conversational systems
- Implement STT & TTS pipelines
- Ensure contextual fluency across major Indian languages
- Design voice-first interaction models
- Build AI-driven evaluation and scoring systems
- Develop profile intelligence & feedback-loop learning
- Implement performance analytics frameworks
- Develop pipelines for:
- Text generation
- Audio intelligence
- Image & video understanding
- Implement AI-based moderation systems
- Detect unsafe, inappropriate, or misleading content
- Strong hands-on experience with Claude (Anthropic ecosystem preferred)
- Deep understanding of MCP (Model Context Protocol)
- Experience building multi-agent AI systems
- Advanced Python skills
- Experience with:
- RAG architectures
- Vector databases
- Embeddings
- Tool-augmented agents
- Experience in:
- Recommendation systems
- Predictive modeling
- Optimization algorithms
- Experience deploying production-scale AI systems
- Voice AI systems (STT/TTS)
- Indian language NLP
- Geo-spatial or routing intelligence systems
- Real-time data integration
- Marketplace allocation engines
- Computer vision pipelines
- Cloud deployment (AWS/GCP/Azure)
- A systems architect at heart
- Comfortable designing AI from ground-up
- Strong in abstraction and structured thinking
- High ownership mindset
- Interested in building applied AI with real-world impact
- Able to work in fast-moving startup environments
- Build advanced agentic AI systems beyond traditional chatbot use-cases
- Work on real-world AI + routing + multilingual intelligence
- High autonomy & technical ownership
- Opportunity to shape the AI backbone of growing digital brands
- Competitive compensation + performance-linked incentives
Next: Write to HR@DHARMIKVIBES.COM with your resume and what you have done in past, how you will contribute to Dharmikvibes, your vision.
Note: This is a early stage startup and payout is in range of 40-60k per month + ESOP [as per company policies]. If you are the one looking for be a CEO of your own work or self initiative, we welcome you.
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