{"id":1228781,"url":"https://alion.io/job/talentxo-aiml-engineer-geo","title":"AI/ML Engineer- GEO","company":{"id":3798349,"name":"TalentXO","domain":"talentxo.com","url":"https://alion.io/company/talentxo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1000000,"max":1500000,"currency":"INR","period":"year","gross":true,"usd_annual":15723},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Embeddings","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-08-31T12:37:37Z","employer_posted_date":null,"last_verified_at":"2026-08-31T12:37:37Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Roles & Responsibilities\nDesign, develop, and deploy production-grade AI/ML and Generative AI solutions.\nWork on GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-driven search and generative interfaces.\nOptimize content, data, and digital experiences for AI-powered search, conversational queries, and LLM-based experiences.\nDevelop solutions using LLMs, NLP, semantic search, embeddings, RAG, and vector databases.\nAnalyze search intent, AI-generated responses, retrieval patterns, citations, and content discoverability to identify optimization opportunities.\nBuild experiments and frameworks to measure the effectiveness of GEO/AEO strategies and AI search performance.\nCollaborate with Product, Engineering, Content, SEO, Marketing, and Business teams to translate business requirements into scalable AI solutions.\nMonitor model and solution performance and continuously improve accuracy, relevance, latency, and overall user experience.\nIdeal Candidate\n1.Strong AI/ML Engineer profile with experience in GEO work\n2.Mandatory (Experience 1): Must have 1+ years of experience in rank modelling for GEO\n3.Mandatory (Experience 2): Must have 1+ year of experience in GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or SGE (Search Generative Experience), including optimizing for AI-driven search interfaces, conversational queries, and generative search experiences.\n4.Mandatory (Experience 3): Must have hands-on exposure to prompt engineering, embeddings, vector search, or RAG-based systems\n5.Mandatory (Skills 1): Deep understanding of how modern search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization\n6.Mandatory (Skills 2): Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, including understanding of how responses are generated and ranked\n7.Mandatory (Skills 3): Understanding of content structuring for AI consumption (schema, context building, knowledge representation)\n8.Mandatory (Education) - 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