Summary
A mid-level full-stack AI engineer is sought to develop production-ready web applications combining modern frontend frameworks, Python backend services, large language model APIs, retrieval-augmented generation, vector search, and cloud infrastructure. The role requires a bachelor's degree or equivalent and 3–6 years of full-stack development experience with exposure to AI-enabled applications.
Highlights
Build production-ready AI web applications using modern full-stack and generative AI technologies. The role offers hands-on experience with LLM integrations, RAG, vector search, cloud deployment, and enterprise systems while working on responsive user experiences and backend services.
Description
Work Schedule
Other
Environmental Conditions
Office
Summarized Purpose:
We are looking for a Mid-Level Full Stack AI Engineer to build production-ready AI web applications using React/Next.js, TypeScript, Python, FastAPI, LLM APIs, RAG pipelines, vector databases, enterprise integrations, and AWS cloud deployment.
Education/Experience:
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
Major Job 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
Knowledge, Skills, and Abilities:
Strong hands-on experience with React/Next.js, TypeScript, HTML, CSS, and component-based frontend development Experience with Python, FastAPI, REST APIs, microservices, SQL databases, and AWS cloud services Working knowledge of LLM APIs, prompt integration, RAG pipelines, embeddings, vector databases, and tool/function calling Familiarity with enterprise integration patterns, authentication, authorization, API security, CI/CD, GitHub, and JIRA Strong problem-solving, collaboration, debugging, and communication skills
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
Working Hours:
India: 05:30 PM to 02:30 AM IST Philippines: 08:00 PM to 05:00 AM PHT
