- Design and develop enterprise-scale agentified platforms, GenAI applications, and APIs using state-of-the-art GenAI technologies.
- Build intelligent agents for use cases like customer service, appointment optimization, inventory management, marketing automation, data lineage/quality, and observability.
- Drive AI/ML architectural decisions and define technical standards for AI system development.
- Create scalable APIs for AI services, ensuring enterprise-grade reliability and performance.
- Optimize AI system cost, latency, and scalability.
- Research, prototype, and adopt emerging AI/ML technologies for the wellness industry.
- Mentor engineering teams on AI/ML best practices and agent development.
- Required Experience & Skills Experience7+ years in software development with a full-stack engineering background.
- 2 3+ years in AI/ML engineering, GenAI app development, and multi-agent design.




- Proven experience in deploying AI/ML models and agent systems at scale.
- Core AI/ML ExpertiseAgent Frameworks: LangChain, LangGraph, AutoGen, CrewAI, OpenAI Assistants API, Semantic Kernel, or custom architectures.
- GenAI Platforms: OpenAI GPT, Anthropic Claude, Azure OpenAI, Google Gemini.
- Agent Development: Multi-agent systems, workflow automation, task coordination, Claude Code Agent workflows.
- Python AI Stack: TensorFlow, PyTorch, FastAPI, pandas, numpy.
- Vector Databases & RAG: Pinecone, Weaviate, ChromaDB.
- Prompt/Context Engineering: Advanced techniques for optimizing agent behavior and model performance.
- Cloud Integration: AWS Bedrock, Azure AI Services, .NET/C#, SQL databases

📌 Lead - Development (Secunderabad)
🏢 Zenoti
📍 Secunderabad