
Senior Machine Learning Engineer
Posted May 25

Posted May 25
This is a fully remote position, open to applicants in India.
• Design, develop, and implement LLM-driven and generative AI solutions to improve real estate processes, customer interactions, and product development.
• Construct and enhance agentic pipelines, which include orchestration, tool integration, and feedback mechanisms.
• Collaborate closely with various departments (such as operations, marketing, and product development) to discover and prioritize areas for AI and LLM integration.
• Architect and sustain scalable, production-ready AI systems utilizing Python, cloud services, and contemporary AI frameworks (e.g., LangChain or similar orchestration tools).
• Develop event-driven and asynchronous architectures to enable high-performance AI applications.
• Leverage prompt engineering and LLM fine-tuning techniques where relevant to enhance system efficacy.
• Keep abreast of the latest developments and trends in Generative AI and the LLM landscape to foster innovation and ensure a competitive edge.
• Diagnose, optimize, and enhance AI systems to guarantee high performance, reliability, and scalability in production settings.
• Maintain comprehensive documentation of systems, processes, and outcomes; share insights and updates with stakeholders.
• A minimum of 2 years of experience working with Python in production contexts.
• At least 5 years of experience in AI/ML, with a preference for those familiar with Generative AI or LLM-based systems.
• Bachelor’s degree in Technology or a related discipline.
• Strong programming abilities in Python, with experience in creating and deploying production-grade systems.
• Background in working with Generative AI / LLM-based applications and workflows.
• Solid grasp of system design, scalable architectures, and model deployment strategies.
• Knowledge of agentic workflows, orchestration frameworks, and multi-step AI pipelines.
• Understanding of asynchronous processing, event-driven systems, and distributed architectures.
• Experience with containerization technologies (e.g., Docker) and cloud platforms.
• Strong analytical skills with the ability to troubleshoot complex systems and implement practical solutions in a fast-paced environment.
• Excellent communication abilities, capable of conveying technical concepts to non-technical stakeholders effectively.
• Eagerness to learn and adapt to emerging technologies and methodologies as the AI field progresses.
• Proven capability to manage multiple projects concurrently, with an emphasis on meeting deadlines and delivering high-quality results.
• Real 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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