We’re building the future of Generative Engine Optimization (GEO) — the performance layer for LLMs and generative search. Just as SEO shaped Google, GEO will define how businesses appear inside ChatGPT, Gemini, Perplexity, and the AI agents of tomorrow. Our founders previously built an $10M+ martech startup, with deep roots in adtech and enterprise marketing. Now we’re on a mission to invent the visibility layer for generative AI , and we’re looking for our Applied ML Engineer to join the ride. What You’ll Do Design and implement ML systems that analyze, optimize, and generate content for LLM-powered search & agents . Work on semantic search, query understanding, embeddings, and ranking models . Prototype fast using LLMs, RAG pipelines, and embeddings , then take the best ideas to production. Experiment with learning-to-rank and reinforcement learning for continuous optimization. Collaborate directly with the founders on product direction, technical strategy, and defensibility . Own projects end-to-end — from data ingestion to model deployment. What We’re Looking For Strong background in NLP / IR (semantic search, retrieval, query intent). Hands-on experience with LLMs, embeddings, vector databases (FAISS, Pinecone, Weaviate). Comfort with Hugging Face, LangChain, PyTorch/TensorFlow , and modern ML stacks. Ability to work scrappy → prototype fast, iterate, measure, repeat . Familiarity with evaluation metrics for IR/LLMs (NDCG, MRR, precision@k, human eval loops). Startup mindset: ownership, bias toward action, thrives in uncertainty. Why Join Us Build the next SEO : Work on a problem space that doesn’t exist yet, but will be massive. Founding team equity : Meaningful upside in shaping the GEO category. High-impact role : Every line of code you write will define the product and the company. Direct access to enterprise marketers : Our existing martech network = instant distribution edge. Work with builders : No red tape, just fast iteration and big ambition. Stack We’re Playing With Python, PyTorch, Hugging Face Vector DBs (Pinecone, Weaviate, FAISS) LangChain / LlamaIndex GCP / AWS / Vertex AI Data pipelines (Airflow, dbt, BigQuery/Snowflake)
Role: GEO (Generative Engine Optimisation) Specialist Location: Remote (Preferred hubs: Bangalore, Gurgaon, Pune, Hyderabad, Manila, Tel Aviv [fractional], Eastern Europe [technical]) About Us We are a fast-scaling B2B platform helping global brands boost visibility on AI-driven search engines (ChatGPT, Perplexity, Gemini, Claude, AI Overviews, etc.) . We are looking for a GEO Specialist who can blend technical SEO skills, AI-search experimentation, and client-facing expertise to deliver measurable visibility and growth. What You’ll Do Conduct AI-search visibility audits : how brands appear across ChatGPT, Perplexity, Gemini, Claude. Develop & execute GEO strategies (entity optimization, AI prompt presence, AI-overview positioning). Work directly with Indian and international clients — explain results, manage expectations, deliver reports. Track metrics: brand mentions, visibility share, query presence, AI-overview inclusion . Collaborate with BD/sales team on client pitches, case studies, and pilots . Stay ahead of AEO/SEO → GEO transitions , monitor competitors, and test cutting-edge techniques. Must-Have Skills 3+ years in SEO/technical SEO/digital marketing with evidence of B2B impact. Deep understanding of AEO (Answer Engine Optimization), entity SEO, structured data , and latest AI search trends . Strong with SEO tools : GSC, GA4, Semrush, Ahrefs, Screaming Frog, MarketMuse, SurferSEO. Excellent English communication (verbal + written) for global client interaction. Client-facing experience: reporting, presentations, objection handling. Nice-to-Have Knowledge of Python SEO scripting (for data scraping, log analysis). Case studies showing AI search visibility wins . Network in SEO/GEO communities.