Wk Consults Pte Ltd Hiring! Full Time Mid-Senior Full Stack Engineer – AI - RAG in - Ricebowl

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.