Software Development Engineer II

Overview

We are seeking a passionate Software Development Engineer to join Esri's R&D Center in Sharjah, UAE, where we implement advanced AI, deep learning, and large language model (LLM) techniques to transform geospatial analysis and extract valuable insights from imagery data. Esri is a global leader in geographic information systems (GIS), known for ArcGIS, which powers 75% of Fortune 500 companies' mapping and analytics needs.

Role Responsibilities

• Design and build tools, APIs, and pretrained models facilitating deep learning (DL) and LLM workflows applied to imagery data.
• Create foundational models targeting computer vision, language, location, and multimodal geospatial datasets.
• Develop intelligent AI agents and assistants to automate and enhance imagery-related tasks.
• Produce and maintain sample applications demonstrating AI and LLM use cases within various ArcGIS platforms.
• Conduct comparative analyses of diverse AI model architectures to address complex challenges involving imagery data.

Qualifications and Experience

• Minimum of two years hands-on experience programming in Python within data science, deep learning, or LLM domains.
• Self-driven learner with extensive expertise in machine learning, deep learning, and large language models.
• Strong proficiency in one or more of the following: computer vision using traditional and deep learning methods (including image classification, object detection, semantic/instance segmentation, GANs, super-resolution, image inpainting), transformer models for vision and natural language processing, AI assistant/agent development, and building or fine-tuning multimodal foundation models.
• Bachelor’s degree in computer science, engineering, or related fields from premier institutions such as IITs or equivalent top-tier engineering colleges.
• Valid work authorization to employ within the UAE.

Preferred Qualifications

• Experience leveraging deep learning techniques on satellite imagery or geospatial datasets.
• Familiarity with ArcGIS products and underlying GIS principles.
• Documented practical experience translating deep learning theory into code via significant projects, whether internships, research, or personal endeavors.
• Expertise constructing and orchestrating multi-agent AI systems using frameworks like LangGraph, with a focus on model fine-tuning, safety measures, and data-driven performance evaluation.

Additional Information

Esri values diversity as a key driver of innovation and fosters an inclusive workplace uniting varied experiences, perspectives, and cultures toward a mission of positive global change. Diversity, equity, and inclusion are active, ongoing commitments at Esri and are extended to the communities served.

Esri is an equal opportunity employer—applicants are considered irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected status.

Reasonable accommodation requests during the hiring process can be made by contacting the company directly.

Esri respects candidate privacy and complies with international data protection regulations including CCPA and GDPR, ensuring transparency and control over candidate information.