Save Job Back to Search Job Description Summary Similar JobsLead the future of Agentic AI in a real, large-scale enterprise environment.Strong engineering culture and global innovation exposure from Hyderabad.About Our ClientOur client is a US-HQ'd global PropTech SaaS company building AI-powered platforms for property management, leasing, payments, analytics, and resident experience. With nearly $2B in annual revenue, 8,000+ employees worldwide, and technology teams across the US, Europe, and India, the company supports more than 24 million rental units globally.Job DescriptionLead the architecture, design, and delivery of enterprise-scale Generative AI and Agentic AI solutions for a global PropTech SaaS platform.Build and optimize AI systems using LLM application design, multi-agent workflows, tool/function calling, RAG architectures, vector databases, and semantic retrieval techniques.Develop scalable cloud-native AI platforms using Python and TypeScript/JavaScript across AWS, GCP, or Azure environments with Docker, Kubernetes, and modern CI/CD practices.Drive end-to-end AI platform strategy including model selection, orchestration frameworks, observability, evaluation standards, governance, performance optimization, and cost efficiency.Mentor AI/ML engineering teams through architectural guidance, code reviews, technical leadership, and best practices for production-grade AI systems.Partner with product, business, and leadership stakeholders to define AI roadmaps, identify high-impact use cases, and deliver measurable business outcomes.Implement AI observability and evaluation frameworks using tools such as LangSmith/OpenAI Evals, including monitoring, logging, prompt/version management, and responsible AI practices.Work with advanced AI ecosystem tools and frameworks including LangGraph, Agents SDK, Kafka/event streaming, multimodal agents, coding assistants (Cursor, Windsurf, Codex), and browser automation tools like Playwright.The Successful ApplicantStrong experience as an AI-focused backend engineer with 5-13 years of overall experience (roles open across multiple seniority levels), including building production-grade distributed systems.Deep hands-on expertise in Generative AI and Agentic AI systems, including LLM application design, multi-agent workflows, tool/function calling, RAG architectures, vector databases, and semantic retrieval.Proven ability to design and scale cloud-native AI backend platforms using Python and TypeScript/JavaScript, with strong experience in AWS/GCP/Azure, Docker, Kubernetes, and CI/CD pipelines.Demonstrated track record of shipping robust AI systems to production with focus on reliability, scalability, observability, evaluation, governance, and cost/performance optimization.Strong technical leadership and collaboration skills with experience mentoring engineers, driving AI architecture decisions, and working closely with product and business teams to deliver impactful AI solutions.What's on OfferCompetitive salary and benefits.Opportunity to shape an exciting, global product.Quote job refJN-052026-7013125Job summaryFunctionInformation TechnologySub SectorIT DevelopmentWhat is your area of specialisation?Technology & TelecomsLocationHyderabadJob TypePermanentJob ReferenceJN-052026-7013125