Lead - Development - AI Engineer: Agentified Platform Dev / Azure Dagta Lake Future state at Zenoti

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Beauty and WellnessIndustries

Requirements

7+ 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
Agent 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
Multi-agent systems: coordination, task distribution, and collaboration
Conversational AI: chatbot development, dialogue management, context preservation
RAG systems: retrieval-augmented generation for knowledge-based applications
AI safety & governance: implementing guardrails

Responsibilities

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

Skills

Python

TensorFlow

PyTorch

LangChain

OpenAI APIs

Anthropic Claude

Azure OpenAI

.NET

SQL Server

RESTful APIs

AWS Bedrock

SageMaker

Azure AI Services

Zenoti

Cloud-based software for beauty businesses

About Zenoti

Zenoti provides cloud-based software tailored for salons, spas, and med spas, helping over 12,000 businesses across more than 50 countries manage their operations. The software includes tools for appointment scheduling, billing, payments, reporting, analytics, marketing, employee management, and inventory control, all aimed at improving customer experience and automating front desk tasks. Operating on a Software-as-a-Service (SaaS) model, clients pay a subscription fee for access to the software, which is continuously updated without manual installations. Zenoti distinguishes itself by offering modern, touchless interactions like online booking and self-check-in, along with 24/7 support and assistance with data migration for new clients. The company's goal is to enhance the efficiency and customer experience of businesses in the beauty and wellness industry.

Bellevue, WashingtonHeadquarters

2010Year Founded

$322MTotal Funding

SERIES_DCompany Stage

Consumer Software, Enterprise SoftwareIndustries

1,001-5,000Employees