Senior Full stack AI Engieer

Job Description

Senior Full Stack AI EngineerNo of Positions: 2

Location: Mumbai - Looking for Mumbai-based candidates only.Reach Education Pvt.

Ltd. is an educational services firm based in Mumbai, India. We are a premium higher education advisory firm founded by HBS (MBA'2010) and CMU (Tepper'2003) alum Vibha Kagzi focused on counselling students targeting top-tier schools internationally.We are seeking a highly skilled Senior AI Full Stack Engineer to join our team and drive the development of an AI-powered, voice-first product. We are Building an AI Career Coach for Youth (HelloIvy.ai)About HelloIvy.aiHelloIvy.ai is an AI-powered career coach built to help young people make informed, confident career decisions earlier in life. Millions of students choose education and career paths with limited guidance, outdated information, or social bias. Our mission is to change that—by combining high-quality career data, behavioral science, and AI to provide personalized, accessible, and scalable career guidance.Our goal is simple and measurable: help students reduce career misalignment, improve employability outcomes, and make decisions backed by data—not guesswork.Role OverviewWe are looking for a senior full-stack AI Engineer to help design, build, and scale the core intelligence behind HelloIvy.ai. You will work on models and systems that understand users, reason over career pathways, and deliver personalized guidance at scale.This is a high-impact role where your work directly influences how thousands (and eventually millions) of young people understand themselves, explore careers, and make life-shaping decisions.What You’ll Work OnDesign and build AI systems for personalized career guidance, including:Skill inference from user inputs (profiles, assessments, conversations)Career matching and recommendation enginesLearning and career pathway modelingDevelop and improve LLM-based workflows (prompting, chaining, retrieval, evaluation)Build data pipelines combining user behavior, labor market data, education data, and skills taxonomiesImplement evaluation metrics for relevance, accuracy, bias, and user outcomesOptimize models for scalability, latency, and cost as user volume growsCollaborate closely with product, design, and domain experts in education and careersSkills & QualificationsRequiredMinimum 4 years of work experience.Strong foundation in machine learning and applied AIHands-on experience with LLMs (e.g., OpenAI, Anthropic, open-source models)Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)Experience with:Recommendation systems, ranking, or personalizationNLP or conversational AIAbility to translate ambiguous human problems into structured AI solutionsDeployment and maintainance on Azure platformComfort working in a fast-moving, early-stage environmentPreferredExperience with RAG systems, embeddings, vector databasesFamiliarity with career, education, or skills data (e.g., O*NET, ESCO, labor market datasets)Exposure to bias, fairness, or explainability in AI systemsExperience deploying models into production (APIs, monitoring, iteration loops)What We ValuePurpose orientation: You care about real-world impact, not just model performanceSystems thinking: You optimize end-to-end outcomes, not isolated componentsData-driven mindset: You define success with metrics (accuracy, engagement, outcome improvement)User empathy: You understand that behind every query is a young person making a high-stakes decisionImpact You’ll HaveDirectly shape how users receive career guidance at scaleContribute to reducing career mismatch and wasted education spendHelp build an AI system that improves outcomes, not just engagementInfluence the technical foundation of a mission-driven AI product from an early stageWhy Join HelloIvy.aiWork on a meaningful AI problem with long-term social impactOwnership over core AI architecture and decision-makingOpportunity to scale a product that can reach millions of students globallySmall team, high responsibility, and fast learning curve