Senior Backend AI Engineer

At REAL, we’re pioneering the fusion of AI technology with corporate real estate, setting new standards for strategic innovation in the industry. As part of our commitment to excellence and growth, we are seeking a Senior Backend AI Engineer to lead our AI initiatives and contribute to our vision of redefining the real estate landscape through cutting-edge solutions. The Senior Backend AI Engineer will play a pivotal role in architecting, developing, and maintaining our AI infrastructure, essential for driving forward our AI workflows and data-driven decision-making processes. This role is perfect for a forward-thinking individual passionate about leveraging AI to solve complex problems and drive business value.

Requirements

Key Responsibilities

• Lead the implementation and optimization of AI-related projects, such as vector databases, prompting mechanisms, fine-tuning models, and advanced RAG techniques.
• Design and maintain robust data pipelines and AI infrastructures to support machine learning initiatives and data-informed strategies.
• Stay abreast of the latest AI research and technological advancements, evaluating their potential impact on our product development.
• Work closely with cross-functional teams to understand AI needs and implement scalable solutions that contribute significantly to business goals.
• Mentor junior engineers, promoting a culture of learning and innovation within the AI team.

Qualifications

• Minimum 3 years of experience in Data or Backend Engineering, with a focus on AI solutions implementation.
• Proficiency in Python, Typescript (Node.js) and familiarity with AI libraries/frameworks such as LangChain, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proven experience in AI model design and deployment for real-world applications, encompassing data preprocessing, feature engineering, model training, and evaluation.
• Knowledge of vector databases (e.g., Pinecone, PGVector), prompting techniques (e.g., GPT-4, Codex), and fine-tuning methodologies.
• Solid understanding of machine learning algorithms and principles, with practical experience in solving complex problems.
• Experience with cloud platforms (AWS, Azure, GCP) and building scalable, reliable AI infrastructures.
• Familiarity with MLOps tools and practices for model deployment, monitoring, and version control.
• Knowledge of advanced AI techniques, such as GANs, transfer learning, and federated learning.

Benefits

• An opportunity to be at the forefront of AI and technology innovation.
• A dynamic and impactful role in a fast-growing startup with a visionary approach to the corporate real estate sector.
• Personal and professional growth opportunities.