Nawy Real Estate

Prop tech brokerage and home financing

Lead AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeCairo, Cairo Governorate, EgyptNo salary listedHybrid

About the Job

Requirements

A bachelor's or master's degree in Computer Science, Engineering, or a related field is required.
At least 6 years of experience in AI, machine learning, or data science roles is required.
At least 1 year of experience leading a team of engineers, including hiring and people management, is required.
A proven track record building and deploying classical machine learning models, such as gradient boosting, regression, classification, recommender systems, and time-series forecasting, is required.
Strong understanding of feature engineering, model validation, and experiment design, including A/B testing, is required.
Proven experience designing and deploying generative AI systems using large language models is required.
Hands-on experience with retrieval-augmented generation, vector databases, and embedding models is required.
Experience with agent frameworks such as LangChain, LangGraph, or PydanticAI is required.
Experience with large language model evaluation, observability, and cost optimization is required.
Expertise in Python and machine learning frameworks including scikit-learn, XGBoost or LightGBM, and PyTorch is required.
Strong MLOps experience covering model versioning, CI/CD for machine learning, monitoring, and drift detection is required.
Hands-on experience with a major cloud platform such as AWS, Azure, or GCP is required.
Experience with multi-agent systems or tool-using large language models is required.

Responsibilities

Lead the end-to-end technical implementation of AI and machine learning projects, from prototyping and experimentation through production deployment and optimization.
Design and review AI system architecture, including data pipelines, model serving, vector databases, retrieval-augmented generation systems, and agentic workflows.
Guide development of classical machine learning models for prediction, ranking, recommendation, and scoring, as well as generative AI solutions such as retrieval-augmented generation, AI agents, and large language model applications.
Evaluate and select suitable approaches for each problem, including classical machine learning, large language models, fine-tuning, or hybrid solutions, based on accuracy, cost, performance, and maintainability.
Provide hands-on technical guidance, conduct code and architecture reviews, and mentor AI engineers.
Implement and maintain engineering best practices for code quality, testing, CI/CD, MLOps, model evaluation, and monitoring.
Ensure production AI systems are reliable, scalable, secure, and cost-efficient, applying appropriate safeguards for data privacy and responsible AI.
Collaborate with product, data, and engineering teams to translate business requirements into technical solutions and communicate technical trade-offs to stakeholders.
Troubleshoot complex technical challenges, optimize system performance, and contribute to reusable AI components.

Desired Qualifications

Hands-on experience fine-tuning large language models, including parameter-efficient techniques such as LoRA or QLoRA.
Contributions to open-source AI or machine learning projects, or experience conducting applied research in machine learning, natural language processing, or large language models.

Lead AI Engineer

Nawy Real Estate · Cairo, Egypt (Hybrid) · — · Posted 2026-10-19

Workplace: hybrid

Description

We are looking for a Lead AI Engineer with 6+ years of experience to lead the technical development and delivery of AI solutions. You will provide hands-on technical guidance to a team of AI engineers and deliver both classical ML and GenAI solutions to production. You will work closely with product, data, and business teams to translate business needs into reliable, scalable, and impactful AI solutions.

Responsibilities

Lead the end-to-end technical implementation of AI/ML projects, from prototyping and experimentation to production deployment and optimization.
Design and review the architecture of AI systems, including data pipelines, model serving, vector databases, RAG systems, and agentic workflows.
Guide the development of classical ML models (prediction, ranking, recommendation, scoring) and GenAI solutions (RAG, AI agents, LLM applications).
Evaluate and select appropriate approaches for each problem, including classical ML, LLMs, fine-tuning, or hybrid solutions, based on accuracy, cost, performance, and maintainability.
Provide hands-on technical guidance, conduct code and architecture reviews, and mentor AI engineers.
Implement and maintain engineering best practices for code quality, testing, CI/CD, MLOps, model evaluation, and monitoring.
Ensure production AI systems are reliable, scalable, secure, and cost-efficient, applying appropriate safeguards for data privacy and responsible AI.
Collaborate with product, data, and engineering teams to translate business requirements into technical solutions and communicate technical trade-offs to stakeholders.
Troubleshoot complex technical challenges, optimize system performance, and contribute to the development of reusable AI components.

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
6+ years in AI, ML, or data science roles.
1+ years leading a team of engineers, including hiring and people management.
Proven track record building and deploying classical ML models (e.g., gradient boosting, regression, classification, recommender systems, time-series forecasting).
Strong grasp of feature engineering, model validation, and experiment design (A/B testing).
Proven experience designing and deploying GenAI systems using LLMs.
Hands-on experience with RAG, vector databases, and embedding models.
Experience with agent frameworks such as LangChain, LangGraph, or PydanticAI.
Experience with LLM evaluation, observability, and cost optimization.
Expert in Python and ML frameworks (scikit-learn, XGBoost/LightGBM, PyTorch).
Strong MLOps experience: model versioning, CI/CD for ML, monitoring, and drift detection.
Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
Strong communication and stakeholder management skills.
Experience with multi-agent systems or tool-using LLMs.

Preferred Qualifications

Hands-on experience fine-tuning LLMs, including parameter-efficient techniques such as LoRA or QLoRA.
Contributions to open-source AI/ML projects or experience conducting applied research in machine learning, NLP, or LLMs.

Apply

Apply at Nawy Real Estate

About the Company

Nawy Real Estate

Prop tech brokerage and home financing

Nawy Real Estate operates in Egypt as a prop tech service that combines real estate brokerage with property financing to help families buy homes. Its Move now, Pay later option lets buyers move into a property immediately and pay over up to 10 years, funded through commissions from sales and financing. Technology streamlines the home-buying process, with properties in prime locations such as 6th of October City, Ain Sokhna, and Al Alamein, often in luxury compounds. Differentiation comes from pairing brokerage with financing in a single offering and a flexible payment plan tailored to Egyptian families, aiming to broaden home ownership.

Company size: 1,001-5,000
Company stage: Debt Financing
Total funding: $101M
Headquarters: New Cairo City, Egypt
Founded: 2016

Recently Posted Jobs

Explore more opportunities at Nawy Real Estate

See more jobs