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Real (Nasdaq: REAX) is a publicly traded, fast-growing global real estate brokerage powered by technology and driven by people. Since our founding in 2014, we’ve been reimagining the residential real estate experience. With operations across the U.S., Canada, India, and the District of Columbia, we’re leading the industry with our cutting-edge platform that empowers agents, simplifies the buying and selling journey, and unlocks greater financial opportunities.At Real, we believe in pairing Tech x Humanity to create something truly different. Learn more at https://www.onereal.com/Work Schedule: 2:30 PM TO 11:30PM ISTLocation: Remote - IndiaPlease note that this position is for "Indian citizens only"Job Summary:We are seeking a skilled and motivated Senior Machine Learning Engineer to join our R&D Team at Real. The ideal candidate will have a strong foundation in machine learning and artificial intelligence, with hands-on experience in building Generative AI systems, LLM-driven applications, and agentic pipelines to solve real-world problems.In this role, you will work transversely across the company, embedding AI-driven and LLM-powered solutions into various facets of our business, including operations, customer experience, and product development, with a strong emphasis on scalable system design and production deployment.Duties/Responsibilities:Design, develop, and deploy LLM-powered and generative AI systems to enhance real estate operations, customer experience, and product innovationBuild and optimize agentic pipelines, including orchestration, tool integration, and feedback loopsWork closely with various teams (e.g., operations, marketing, product development) to identify and prioritize opportunities for AI and LLM integrationArchitect and maintain scalable, production-grade AI systems using Python, cloud platforms, and modern AI frameworks (e.g., LangChain or similar orchestration tools)Implement event-driven and asynchronous architectures to support high-performance AI applicationsApply prompt engineering and LLM fine-tuning approaches where applicable to improve system performanceStay informed about the latest trends and advancements in Generative AI and LLM ecosystems to drive innovation and maintain competitive advantageTroubleshoot, optimize, and refine AI systems to ensure high performance, reliability, and scalability in production environmentsMaintain thorough documentation of systems, processes, and results; communicate findings and progress to stakeholdersRequired Skills/Abilities: Strong programming skills in Python, with experience in building and deploying production-grade systemsExperience working with Generative AI / LLM-based applications and workflowsSolid understanding of system design, scalable architectures, and model deployment strategiesFamiliarity with agentic workflows, orchestration frameworks, and multi-step AI pipelinesUnderstanding of asynchronous processing, event-driven systems, and distributed architecturesExperience with containerization (e.g., Docker) and cloud platformsStrong problem-solving skills with the ability to analyze complex systems and implement effective solutions in a dynamic environmentExcellent interpersonal skills, with the ability to communicate technical concepts to non-technical stakeholders effectivelyWillingness to learn and adapt to new technologies and methodologies as the field of AI continues to evolveExperience managing multiple projects simultaneously, with a focus on meeting deadlines and delivering high-quality workEducation and Experience:Minimum of 2 years of experience working with Python in production environmentsAt least 5 years of experience in AI/ML, with exposure to Generative AI or LLM-based systems preferredBachelor’s degree in Technology or related fieldMust-Have: Ability to truly encompass our Company Core ValuesWork Hard. Be Kind"We" are bigger than "me"Tech x HumanityPhysical Requirements: Sit for long periods of timeReal is proud to be an equal opportunity workplace employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
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