Software Development Engineer I

Overview

Esri is a premier leader in geographic information systems, known for ArcGIS which serves 75% of Fortune 500 companies. At our R&D Center in Sharjah, UAE, we innovate by integrating advanced AI, deep learning, and large language model techniques to transform geospatial analytics using imagery data.

Our dedicated team concentrates on developing Deep Learning and LLM models tailored for geospatial analysts and data scientists to leverage the forefront of spatial data science and AI-enabled geospatial deep learning.

Key Responsibilities

• Create tools, APIs, and pretrained models supporting deep learning and LLM workflows applied to imagery data.
• Design foundational models addressing computer vision, language, location, and multimodal geospatial data.
• Develop AI agents and assistants to execute diverse imagery-related tasks efficiently.
• Produce and maintain sample applications demonstrating AI and LLM integrations within ArcGIS platforms.
• Conduct comparative studies of varying AI architectures to solve complex challenges related to imagery data.

Candidate Requirements

• Minimum one year of Python experience in contexts of data science, deep learning, and large language models.
• Self-motivated learner with profound understanding of machine learning, deep learning, and LLM technologies.
• Proficiency in one or more of the following domains:
• Computer vision employing traditional and deep learning techniques, including image classification, object detection, segmentation, GANs, super-resolution, and image inpainting.
• Application of transformer models in computer vision and natural language processing.
• Creation of AI assistants or agents specialized in task execution.
• Building or fine-tuning foundation models handling multimodal data.
• Bachelor’s degree in computer science, engineering, or related field from esteemed institutions such as IITs or other top-tier engineering colleges.
• Possession of valid work authorization for the United Arab Emirates.

Preferred Qualifications

• Hands-on experience with deep learning applied to satellite imagery or geospatial datasets.
• Knowledge of ArcGIS products and geographical information system concepts.
• Proven ability to translate deep learning theory into practice demonstrated through substantial projects like internships, research, or personal portfolio work.
• Experience developing and managing multi-agent AI systems using tools like LangGraph, including skills in model fine-tuning, ensuring safety controls, and performing data-driven agent evaluations.

Additional Information

Esri values diversity and is committed to a culture that fosters inclusion, valuing different experiences, perspectives, and cultures to enhance innovation and workplace environment. The company encourages applicants who may not meet every preferred qualification to apply and is an equal opportunity employer. Reasonable accommodations are available upon request during the hiring process. Esri also prioritizes protecting applicant privacy under strict compliance with regulations such as CCPA and GDPR.