Marketing Head D2C (eCommerce) for a Personal Care Brand

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Profile: React.js

Location: Andheri East, Mumbai

Experience Required: 3+ Years

Employment Type: Full-time

Required Skills & Qualifications

• Experience: Minimum 3+ years of professional experience in React.js development
• Core Technologies:Strong proficiency in JavaScript (ES6+)
• Extensive experience with React.js and its ecosystem
• Solid understanding of HTML5, CSS3, and responsive design
• Experience with state management libraries (Redux, Context API)
• Knowledge of modern build tools (Webpack, Vite, etc.)
• Familiarity with version control systems (Git)
• Technical Skills:Understanding of RESTful API integration
• Experience with testing frameworks (Jest, React Testing Library)
• Knowledge of modern CSS frameworks (Bootstrap, Material-UI, Tailwind CSS)
• Familiarity with TypeScript is a plus
• Understanding of performance optimization techniques

Qualification

•     Total Experience level of 2 to 4 years of software development
•     Strong problem-solving skills, data structures, and algorithms
•     Experience with distributed systems handling a large amount of data
•     Excellent coding skills in any one/more among Ruby/ROR.
•     Good understanding of Web Technologies (RestFul APIs, Authentication)
•     Good understanding of Database Systems
•     Experience in working on Data Science problems is a plus
•     B.Tech/BE/M. Tech in Computer Science or equivalent

Responsibilities

We believe in a setup where our engineers get to experience most components of our platform though they might be experts in one/few areas. Here are some areas where based on your choice & experience you would be working on:

Enhancing various components of our AI platform (e.g Context engine, Feed Integration pipeline, Configuration Manager etc)

Managing bot development/on-boarding for existing/new clients which includes building Bot UI flows, integration of client APIs etc

Exploring new capabilities and integrating external systems (e.g Google Vision APIs, Greatschool.org APIs etc) into bot platforms based on use cases

Building/enhancing customer/employee facing Admin Site for reporting, setup, customer onboarding, configurations, AI training, Monitoring and alerting etc

Building/managing RESTful APIs for various features within the core bot platform

Exploring/integrating/enhancing with various third-party messaging systems (e.g FB Messenger, Twitter, Viber, Alexa, Zendesk, Salesforce etc) as these platforms evolve in capabilities

Building/managing AWS clusters for clients

Automating test cases, build process.

About Insyncai

Insyncai is the leading Customer Experience automation platform for enterprises who need to up-level the entire customer journey. eCommerce penetration has increased more in the last year than it has over the last decade, therefore brands are looking to move beyond legacy systems. Insyncai provides a solution that provides a world-class customer experience for any team. Insyncai’s platform does not require any work from their partners, builds a custom, AI solution in under 4 weeks, and has been shown to automate up to 75% of a customer's journey including support, product discovery, product education and purchase. Having grown 300% YoY, we work with large Fortune 500 brands like Verizon Media, Stamps.com, and more.

Please visit:

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.