AI Engineer

About Estetica

Estetica is a fast-growing B2B & B2C platform for the beauty and wellness industry, offering apps, CRM, and staff solutions. We are building AI-powered experiences to enhance booking, scheduling, customer retention, provider efficiency, analytics, and automation across our ecosystem.

Our tech stack includes Node.js, Flutter (Riverpod), TypeScript, React.js, and AWS, and we are now expanding into AI-driven personalization, automation, and intelligent assistants.

About the Role

We are looking for a practical and visionary AI Engineer who can design, build, and deploy AI solutions that power our CRM and applications. The role combines AI/ML model development, AI agent design, and integration of automation flows into production applications.

You will work on recommendation systems, chatbots, semantic search, predictive analytics, personalization, demand forecasting, and workflow automation, while ensuring scalability, security, and cost efficiency.

Key Responsibilities AI Strategy & Solution Design

• Work with product & engineering teams to design AI flows and agents across CRM, partner app, staff app, and consumer app.
• Identify areas where AI can optimize workflows (booking, scheduling, retention, support, analytics).
• Translate business requirements into scalable AI solutions.

AI/ML Development & Integration

• Build and deploy AI models for personalization, chatbots, semantic search, predictive analytics, fraud detection, and marketing automation.
• Integrate third-party AI APIs & agent frameworks (OpenAI, Hugging Face, LangChain, Rasa, n8n, MindStudio, etc.).
• Implement AI-driven automation pipelines for recurring business processes.

Model Training, Deployment & Monitoring

• Train and fine-tune ML models (PyTorch, TensorFlow, Scikit-learn, Hugging Face).
• Deploy models via Flask/FastAPI, AWS SageMaker, or serverless APIs for low-latency use (<300ms).
• Implement MLOps workflows: CI/CD, monitoring, drift detection, retraining.
• Ensure compliance, security, and cost optimization for AI workloads.

Data Engineering & Pipelines

• Work with structured (MySQL/Postgres) and unstructured (S3, NoSQL) data.
• Build preprocessing, feature engineering, and ETL workflows.
• Leverage vector databases (FAISS, Pinecone, Weaviate) for semantic search & retrieval.

Collaboration & Delivery

• Work with frontend/backend teams to integrate AI into real-time Node.js, Flutter, and React applications.
• Deliver features rapidly while maintaining scalability and reliability.
• Partner with product managers to define KPIs for AI-driven outcomes.

Required Skills & Expertise

• 3–7 years of applied AI/ML experience (NLP, recommendation systems, predictive analytics).
• Strong hands-on skills with Python (PyTorch, TensorFlow, Scikit-learn) and deployment frameworks (Flask, FastAPI, AWS SageMaker).
• Experience with AI agent frameworks (LangChain, AutoGPT, CrewAI, Rasa) and orchestration tools (n8n, MindStudio, Airflow, Zapier).
• Proficiency in Node.js and REST/GraphQL integrations.
• Experience with vector DBs (Pinecone, Weaviate, FAISS).
• Understanding of MLOps best practices (monitoring, retraining, CI/CD).
• Strong collaboration & problem-solving skills.

Key KPIs for the Role

• Accuracy & relevance of AI models (precision, recall, F1-score).
• Latency & scalability (fast, reliable serving at scale).
• Time-to-market for AI features.
• Seamless integration into Node.js, Flutter, and React applications.
• Cost optimization of AI workloads on AWS.

Nice-to-Have Skills

• Experience with GenAI, LLMs, embeddings, RAG systems.
• Knowledge of conversational AI, voice bots, or WhatsApp AI assistants.
• Familiarity with multi-agent frameworks for task automation.
• Containerization & orchestration (Docker, Kubernetes).
• Experience with A/B testing & analytics for AI features.

Job Type: Full-time

Pay: ₹15,321.56 - ₹200,000.00 per month

Benefits:

• Commuter assistance
• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person