RAG AI Developer (LLM + Retrieval) EdTech

About the job:

Job Summary:

RAG (Retrieval-Augmented Generation) AI Developer

Key Responsibilities:

• Build and maintain

  RAG pipelines

  : ingestion chunking embedding vector storage retrieval generation.
• Implement hybrid search (semantic + keyword), reranking, filters, and metadata-based retrieval.
• Integrate LLMs with tools/frameworks (e.g.,

  LangChain / LlamaIndex

  or custom pipelines).
• Work with

  vector databases

  (e.g., Pinecone, Weaviate, FAISS, Chroma, Milvus) and optimize retrieval performance.
• Create evaluation metrics for RAG quality (faithfulness, relevance, context precision/recall) and reduce hallucinations.
• Build prompt templates, guardrails, and citation-based answers.
• Deploy services/APIs (FastAPI/Flask), monitor latency/cost, and implement caching strategies.
• Collaborate with product/content teams to define data sources and user workflows.

Required Skills & Qualifications:

• 1+ year experience

  building NLP/LLM features (must have some hands-on RAG or retrieval work).
• Strong Python skills.
• Experience with embeddings, chunking strategies, and document loaders (PDF/HTML/Doc).
• Familiarity with at least one vector DB and retrieval methods (cosine similarity, MMR, etc.).
• Understanding of basic ML concepts and text preprocessing.

Preferred (Nice to Have):

• Experience with

  OpenAI / Anthropic / Google / open-source LLMs

  (Llama, Mistral, etc.).
• Experience with OCR pipelines (for scanned PDFs), speech/text, or multilingual content (helpful for EdTech).
• Experience with Docker, cloud deployment (AWS/GCP/Azure), CI/CD.
• Prior work on chatbots, tutoring systems, or knowledge bases.

What Success Looks Like (KPIs):

• Higher answer accuracy + lower hallucination rate
• Faster retrieval latency and lower compute cost
• Clear citations and better user satisfaction on Q&A flows

Location:

Experience:

Job Type:

Who can apply:

Only those candidates can apply who:

1. have minimum 1 years of experience

Salary:

Experience:

Deadline: