Senior Data Science & AI
Senior AI Engineer to lead end-to-end AI model development and scalable system architecture at Nawy Real Estate. Will mentor junior engineers, collaborate with product managers, and stay current on AI research.
Skills required
About this role
We are looking for a Senior AI Engineer with over 4 years of experience to lead our AI initiatives. In this role, you will be responsible for driving the design, development, and deployment of cutting-edge AI solutions. You will provide technical leadership to a team of AI engineers, mentor junior team members, and collaborate closely with stakeholders to deliver impactful AI-driven products. This position requires deep expertise in machine learning, data engineering, and software development practices.
Responsibilities:
* Lead the end-to-end development of AI models.
* Architect scalable AI systems and infrastructure to support large-scale data processing and model training.
* Mentor and coach junior AI engineers, fostering a culture of continuous learning and technical excellence.
* Collaborate with product managers and business stakeholders to define AI strategy and roadmap.
* Conduct research and stay abreast of advancements in AI/ML fields to drive innovation.
* Ensure robustness, scalability, and performance of AI solutions in production environments.
Requirements
Requirements
Bachelor’s or Master’s. in Computer Science, Engineering, or a related field.
* 4+ years of experience in AI, machine learning, or data science roles, with a proven track record of delivering complex projects.
* Proven experience designing and deploying Generative AI (GenAI) systems using large language models (LLMs).
* Expertise in Python, TensorFlow, PyTorch, or other ML frameworks.
* Strong knowledge of distributed computing, data engineering, and cloud platforms.
* Hands-on experience with RAG architectures, vector search engines, and embedding models.
* Deep experience with prompt engineering and LLM fine-tuning.
* Experience building intelligent agent-based systems using frameworks like LangChain, LangGraph, or CrewAI.
* Familiarity with LLM evaluation, observability, and cost/performance optimization.
* Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
* Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications:.
* Experience working with multi-agent architectures, planning/execution agents, or tool-using LLMs.
* Contributions to open-source GenAI projects, or participation in applied research involving LLMs, embeddings, or agentic reasoning.
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