About the job: Job Summary: We are looking for a RAG (Retrieval-Augmented Generation) AI Developer to build and improve AI features for our EdTech productssuch as course Q&A bots, tutor assistants, content search, and internal knowledge assistants. You will work on document ingestion, embeddings, retrieval pipelines, evaluation, and deployment. 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: On-site Girgaon , Mumbai Experience: 1+ year (hands-on) Job Type: Full-time Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: Competitive salary Experience: 1 year(s) Deadline: 2035-01-01 00:00:00

About the job: Job Summary We are hiring a Digital Marketing Manager with strong hands-on expertise in Google Ads to drive student enrollments for our academic programs. The role focuses on performance marketing - planning, executing, and optimizing paid campaigns to generate high-quality leads and improve conversions from lead to admission. Key Responsibilities: Own end-to-end Google Ads strategy and execution (Search, Display, YouTube, Performance Max, Remarketing). Drive lead generation for courses/programs with a focus on CPL, lead quality, and enrollments . Build and optimize keyword strategy (intent-based, competitor, long-tail), negative keywords, and match types. Create and test ad copies, extensions, creatives, and landing page messaging (A/B testing). Implement and manage tracking: GA4, Google Tag Manager, conversion events , call tracking, and form tracking. Monitor campaign performance daily and optimize bids, budgets, audiences, placements, and funnel steps. Coordinate with content/design teams for landing pages, creatives, and funnel assets (lead magnets, webinar pages, etc.). Work closely with the admissions/sales team to improve lead-to-enrollment conversion and reduce junk leads. Prepare weekly/monthly performance reports and insights (what worked, what didnt, next actions). Ensure compliance with Google Ads policies and maintain brand consistency. Required Skills & Qualifications: 1+ years of performance marketing experience with strong focus on Google Ads . Proven experience running lead-gen campaigns (preferably EdTech/education) with measurable results. Strong understanding of funnel metrics : CTR, CPC, CPL, conversion rate, lead quality, CAC. Working knowledge of GA4 + GTM and conversion tracking setup. Strong analytical mindset and ability to scale campaigns while maintaining efficiency. Good communication skills and ability to collaborate on-site with multiple teams. Location: Girgaon, Mumbai Experience: Minimum 1+ years Job Type: Full-time Remuneration: 50,000 60,000 per month Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: Competitive salary Experience: 1 year(s) Deadline: 2035-01-01 00:00:00