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Mid-Senior Full Stack Engineer – AI & RAG at re-zoo-me – Singapore | Jobyssey

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Mid-Senior Full Stack Engineer – AI & RAG

Mid-Senior Full Stack Engineer – AI & RAG

re-zoo-me · Singapore, Singapore · 5 days ago

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Seniority: Senior
Category: Fullstack
Experience: 3+ years

ai api authentication cloud dotnet embeddings llm nextjs nodejs opensearch pgvector pinecone

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prompt-engineering

vector-databases

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

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.