Laravel
React.js
NodeJS (Node.js)
RedisSenior Software Developer (AI integration)
Role Overview
We are looking for a Senior Full-Stack Engineer to drive the development, integration, and scaling of our eCommerce applications. This is a hands-on coding role requiring deep expertise in full-stack ecosystems (Laravel + React), proven track record of integrating and deploying AI models/workflows. Strong eCommerce domain knowledge (Shopify and/or Magento 2) would be a plus.
As our product suite heavily prioritizes AI-driven features, you will be the core technical driver responsible for building smart workflows, setting up local LLMs, and bridging the gap between modern AI capabilities and robust web applications.
Work Location: Remote (Open to talent across India; office is based in Indore).
Required Technical Skills:
AI & LLM Integration (Mandatory)
- LLM Implementation: Hands-on experience setting up, fine-tuning, or self-hosting local LLMs (e.g., via Llama, Mistral, Ollama) and utilizing cloud AI APIs (OpenAI, Anthropic, etc.).
- AI Frameworks & Workflows: Experience building custom agentic workflows, prompt engineering pipelines, or using orchestration frameworks (LangChain, LlamaIndex, or JS/PHP equivalents)..
- Vector Databases: Familiarity with embeddings and vector search (e.g., Pinecone, Milvus, Chroma, or pgvector).
Core Full-Stack
- PHP (expert level)
- Laravel (architecture-level understanding: queues, jobs, service layer)
- React.js (SPA, state management, performance optimization)
- HTML, CSS, JavaScript (ES6+)
- GraphQL & REST API design
- Node.js (real-time systems like Socket.io)
Database & Systems
- MySQL/PostgreSQL (schema design, optimization)
- Caching: Redis
- Queue systems: RabbitMQ / similar
Architecture Knowledge
- Microservices & event-driven architecture
- API-first and headless systems
- Scalability & distributed systems
E-commerce Domain
- Shopify: Deep understanding of Shopify APIs, App ecosystem, and headless commerce.
- Magento 2: Practical understanding of Magento's architecture, module system, and GraphQL (hands-on customization experience is highly valued).
Note: Preference will be given to candidates with experience in any of the two platforms, but we are open to consider candidates who do not have direct exposure to these platforms if they have exceptional track record with AI implementations.
Good to Have
- Experience with Python (often useful for AI/data manipulation scripts).
- Cloud Infrastructure (AWS / DigitalOcean, Cloudflare).
- Familiarity with CI/CD tools and containerization (Docker).
Roles & Responsibilities:
- Hands-on Development: Write clean, maintainable, and highly efficient code across the backend (Laravel) and frontend (React).
- AI Feature Engineering: Own the end-to-end implementation of AI capabilities—from setting up local LLM instances to writing the integration logic that connects AI flows to our eCommerce systems, with a strong focus on optimizing token streaming processing and reducing execution latency
- Feature Ownership: Take high-level product requirements and transform them into concrete technical solutions, ensuring scalable code architecture.
- System Performance: Optimize application speed and reliability, utilizing caching (Redis) and async processing to ensure seamless user experiences.
- Security & Infrastructure: Implement secure coding practices, manage API rate-limiting, and collaborate on Docker/CI/CD pipelines.
- Technical Mentorship: Review code, champion best practices, and help upskill mid-level developers on the team.
- Team Collaboration: Work closely with product, design, and engineering teams. Act as technical decision owner.
Shubham Vishwakarma
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