Full Stack Engineer

As a Mid-Level Full Stack AI Engineer, your role involves building production-ready AI web applications using React/Next.js, TypeScript, Python, FastAPI, LLM APIs, RAG pipelines, vector databases, enterprise integrations, and AWS cloud deployment. Key Responsibilities: - Develop responsive frontend application components using React/Next.js and TypeScript - Build backend APIs and microservices using Python, FastAPI, and REST-based service patterns - Integrate LLM APIs such as OpenAI or similar providers into business workflows and user experiences - Implement RAG workflows, embeddings, vector database search, and tool/function calling under architectural guidance - Collaborate with product, design, QA, DevOps, and senior engineers using GitHub workflows, JIRA, and Agile delivery practices Qualifications Required: - Bachelor's degree or equivalent in Computer Science, Information Technology, or related field - 3-6 years of experience in full stack application development with exposure to AI/LLM-enabled application features The company operates in an office environment. You must have strong hands-on experience with React/Next.js, TypeScript, HTML, CSS, and component-based frontend development. Additionally, experience with Python, FastAPI, REST APIs, microservices, SQL databases, and AWS cloud services is essential. Knowledge of LLM APIs, prompt integration, RAG pipelines, embeddings, vector databases, and tool/function calling is required. Familiarity with enterprise integration patterns, authentication, authorization, API security, CI/CD, GitHub, and JIRA is also necessary. Strong problem-solving, collaboration, debugging, and communication skills are crucial for this role. Must-Have Skills: - React/Next.js and TypeScript frontend development - Python, FastAPI, REST API, and microservices development - LLM API integration, RAG, vector databases, embeddings, and tool/function calling experience - AWS cloud deployment, enterprise integrations, GitHub, JIRA, and Agile delivery experience Good-to-Have Skills: - Experience using component libraries and adopting enterprise design systems - Exposure to event-driven architecture, message queues, serverless services, or containerized deployments - Knowledge of AI application security, data privacy, observability, performance tuning, and cost-conscious implementation The working hours for this role are as follows: - India: 05:30 PM to 02:30 AM IST - Philippines: 08:00 PM to 05:00 AM PHT As a Mid-Level Full Stack AI Engineer, your role involves building production-ready AI web applications using React/Next.js, TypeScript, Python, FastAPI, LLM APIs, RAG pipelines, vector databases, enterprise integrations, and AWS cloud deployment. Key Responsibilities: - Develop responsive frontend application components using React/Next.js and TypeScript - Build backend APIs and microservices using Python, FastAPI, and REST-based service patterns - Integrate LLM APIs such as OpenAI or similar providers into business workflows and user experiences - Implement RAG workflows, embeddings, vector database search, and tool/function calling under architectural guidance - Collaborate with product, design, QA, DevOps, and senior engineers using GitHub workflows, JIRA, and Agile delivery practices Qualifications Required: - Bachelor's degree or equivalent in Computer Science, Information Technology, or related field - 3-6 years of experience in full stack application development with exposure to AI/LLM-enabled application features The company operates in an office environment. You must have strong hands-on experience with React/Next.js, TypeScript, HTML, CSS, and component-based frontend development. Additionally, experience with Python, FastAPI, REST APIs, microservices, SQL databases, and AWS cloud services is essential. Knowledge of LLM APIs, prompt integration, RAG pipelines, embeddings, vector databases, and tool/function calling is required. Familiarity with enterprise integration patterns, authentication, authorization, API security, CI/CD, GitHub, and JIRA is also necessary. Strong problem-solving, collaboration, debugging, and communication skills are crucial for this role. Must-Have Skills: - React/Next.js and TypeScript frontend development - Python, FastAPI, REST API, and microservices development - LLM API integration, RAG, vector databases, embeddings, and tool/function calling experience - AWS cloud deployment, enterprise integrations, GitHub, JIRA, and Agile delivery experience Good-to-Have Skills: - Experience using component libraries and adopting enterprise design systems - Exposure to event-driven architecture, message queues, serverless services, or containerized deployments - Knowledge of AI application security, data privacy, observability, performance tuning, and cost-conscious implementation The working hours for this role are as follows: - India: 05:30 PM to 02:30 AM IST - Philippines: 08:00 PM to 05:00 AM PHT