Join Ahya as an Associate / Senior Associate, AI Engineer

Role Description 

We are looking for a highly motivated, hands-on, and execution-focused AI Engineer to join Ahya and help build the next generation of climate intelligence solutions powered by Generative AI, Agentic AI, Machine Learning, and Large Language Models (LLMs).

In this role, you will work at the intersection of AI research, software engineering, and product development, helping design, develop, and deploy intelligent systems across AhyaAI, AhyaOS, Tawazun, and AhyaAPI. You will be responsible for translating business and sustainability challenges into scalable AI-powered solutions, ranging from semantic search and retrieval systems to autonomous AI agents.

This is an ideal opportunity for someone who enjoys building production-ready AI systems, experimenting with emerging AI technologies, and solving real-world problems using modern machine learning and generative AI frameworks. The role structure and style are modeled after Ahya's existing leadership hiring templates.

Core responsibilities

I. Generative AI & Agentic Systems Development 

• Design, build, and deploy AI-powered applications using Large Language Models (LLMs) and modern AI frameworks.
• Develop Agentic AI workflows capable of planning, reasoning, tool usage, memory management, and multi-step task execution.
• Build Retrieval-Augmented Generation (RAG) systems leveraging vector databases, embeddings, and knowledge retrieval pipelines.
• Implement AI copilots, conversational assistants, semantic search engines, and intelligent automation workflows across Ahya products.
• Evaluate and integrate frontier AI models from providers such as OpenAI, Anthropic, Cohere, Google, and open-source ecosystems.

II. Machine Learning & Predictive Analytics

• Design, train, evaluate, and deploy machine learning models for prediction, classification, anomaly detection, forecasting, optimization, and recommendation use cases.
• Build feature engineering pipelines and model evaluation frameworks.
• Develop explainable and auditable AI systems suitable for enterprise sustainability and climate-tech applications.
• Collaborate with Climate Science and Product teams to translate domain requirements into ML solutions.

III. Data Engineering & AI Infrastructure

• Design scalable data pipelines supporting model training, inference, and monitoring.
• Work with structured and unstructured datasets including documents, invoices, utility bills, images, PDFs, and operational records.
• Develop APIs and backend services to expose AI capabilities to internal and external applications.
• Optimize inference pipelines for cost, latency, reliability, and scalability.
• Support deployment of AI workloads in cloud-native environments.

IV. LLMOps, MLOps & Productionization 

• Deploy and maintain AI models in production environments.
• Implement monitoring, observability, evaluation, and quality assurance frameworks for AI systems.
• Establish model versioning, experiment tracking, prompt versioning, and deployment pipelines.
• Monitor model performance, latency, and operational costs.
• Contribute to best practices around AI governance, testing, security, and responsible AI deployment.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 2–3 years of experience in AI, Machine Learning, or Data Science.
• Strong proficiency in Python and experience developing production-grade software applications and APIs.
• Hands-on experience with Generative AI and Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and tool-calling frameworks.
• Experience with modern AI frameworks and libraries such as LangChain, LlamaIndex, OpenAI, Anthropic, Cohere, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn, XGBoost, or similar technologies.
• Understanding of machine learning concepts including supervised and unsupervised learning, feature engineering, model evaluation, forecasting, anomaly detection, and optimization techniques.
• Experience working with vector databases, semantic search systems, embeddings, and unstructured data processing workflows.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, along with containerization and deployment technologies including Docker and Kubernetes.
• Strong understanding of software engineering best practices, including version control, testing, CI/CD pipelines, and scalable system design.
• Excellent problem-solving, analytical thinking, and communication skills, with the ability to work independently in a fast-paced startup environment.
• Experience building AI-powered products, copilots, automation systems, document intelligence solutions, or enterprise AI applications will be considered a strong advantage.
• Prior experience in Climate Tech, Sustainability, FinTech, SaaS, or Enterprise Software environments is preferred but not mandatory.

Why join Ahya?

• Build AI solutions that directly contribute to decarbonization, sustainability, and climate action across the MENAP region.
• Work on cutting-edge Generative AI, Agentic AI, Machine Learning, and Agentic Systems that solve real-world enterprise challenges.
• Collaborate with experienced product, engineering, climate science, and AI leaders while accelerating your professional and technical development.
• Join one of the region's leading climate-tech companies and help develop proprietary AI technologies shaping the future of sustainability and climate intelligence.
• Work across the full AI lifecycle—from research and experimentation to production deployment and customer-facing applications.

‍