Mid-Senior Full Stack Engineer – AI & RAG
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Summary
Build and own the full-stack development of an AI-powered SEO optimization platform — frontend, backend, APIs, database, and deployment — using LLMs, RAG, embeddings, and vector search for content analysis and SEO recommendations. On-site in Singapore; immediate joiners only.
Job Responsibilities
Qualifications
- Build and own the full-stack development of an AI-powered SEO optimization platform.
- Develop frontend, backend, APIs, database, and deployment independently.
- Build SEO optimization features using LLMs, RAG, and knowledge-based retrieval.
- Design and implement knowledge ingestion, embeddings, vector search, retrieval pipelines, and prompt workflows.
- Develop features for content analysis, keyword optimization, metadata generation, content improvement, and SEO recommendations.
- Integrate third-party APIs and relevant SEO data sources.
- Design reliable backend workflows for LLM and retrieval-based processing.
- Handle testing, debugging, performance optimization, and production deployment.
- Work independently, make technical decisions, and take ownership from architecture through delivery.
Qualifications
- 3–5 years of professional full-stack development experience.
- Strong hands-on experience with modern frontend and backend development.
- Practical experience integrating LLMs and AI APIs into real applications.
- Experience building RAG systems, including embeddings, retrieval, vector databases, chunking, and prompt engineering.
- Experience with technologies such as React/Next.js, Node.js/Python/.NET, or equivalent.
- Familiarity with vector databases such as pgvector, Pinecone, Qdrant, Weaviate, OpenSearch, or similar.
- Strong understanding of APIs, databases, authentication, cloud deployment, and application architecture.
- Basic understanding of SEO, content optimization, keywords, metadata, and search intent is preferred.
- Able to take loosely defined requirements and turn them into a working product independently.
- Strong problem-solving and debugging skills.
- Comfortable working in a fast-moving startup environment with minimal supervision.
- Immediate joiners only. On-site.