Ark Energy (www.arkenergy.ae and YouTube Video) is a leading AI-first Energy Efficiency, Digitalization, and Decarbonization Advisory firm that consults clients to reduce their energy costs and decarbonize to net zero through a holistic approach to project development, funding, execution followed by digital measurement and verification of energy savings. We deploy extensive AI innovation to automate our clients’ energy management workflows end-to-end, including a suite of advanced AI and digital toolkits that support energy analytics, Low Delta-T Rehabilitation, data capture and cleansing, energy reporting, M&V audit, and our flagship digital energy management information system (www.arkEMIS.io or YouTube Video).

Our AI Innovation and Process Automation division is seeking an AI developer, who is passionate about building practical AI tools and applications. In this role, you will work closely with consultants, data specialists, and business teams to design and develop AI-driven solutions that improve efficiency, automation, and analytics across Ark Energy.

This is an excellent opportunity for someone with 0 to 3 years of relevant experience who wants to grow in applied AI development within the energy management sector.

Core Responsibilities

• Develop AI-powered tools, assistants, and internal applications using LLM APIs (Anthropic Claude, OpenAI, Google Gemini, DeepSeek) and no-code/low-code platforms

• Build and integrate machine learning models into real-world workflows

• Contribute to building Retrieval-Augmented Generation (RAG) solutions that combine LLMs with company knowledge sources

• Collaborate with cross-functional teams to translate business needs into technical solutions

• Support deployment of AI models and tools into production environments

• Improve existing AI pipelines, APIs, and digital platformsbuild automation workflows connecting AI tools to business systems (Power Automate, Microsoft Copilot Studio, n8n)

• Stay current with emerging AI technologies and best practices

Qualifications and Education Requirements

• Masters degree in engineering (Software, Computer, Mechanical, or Electrical) or Computer Science, with 0–3 years of professional experience in AI development

• Strong programming skills in Python

• Familiarity with AI/ML libraries such as scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers

• Hands-on exposure to LLM APIs and platforms including Anthropic Claude, OpenAI GPT-4o, Google Gemini, DeepSeek, and/or Mistral

• Prompt engineering skills including system prompt design, few-shot prompting, chain-of-thought reasoning, and tool/function calling with LLM APIs

• Familiarity with Retrieval-Augmented Generation (RAG), embeddings, and semantic search

• Basic understanding of ML concepts, data preprocessing, and feature engineering

• Understanding of Git and collaborative development workflow

• Familiarity with AI automation platforms (Microsoft Copilot Studio, Power Automate, n8n, Zapier) for end-to-end workflows

• Understanding of agentic AI: multi-step reasoning, tool/function calling, memory, and multi-agent orchestration

• Fluent English (written and spoken); Arabic (written and spoken); French is a plus