Software Engineer

This is a fully remote position, open to applicants in Qatar.

📋 Description

• Design, develop, and deliver production-quality solutions, encompassing LLM-powered applications, machine learning models, and APIs.

• Provide architectural consultation and implement solutions for key business initiatives, including data science and machine learning systems.

• Take ownership of features from inception to completion, covering design, implementation, testing, deployment, and production support.

• Construct and showcase product architectures while producing high-caliber technical code.

• Engage in design and code reviews, and demonstrate applications to stakeholders and senior executives.

• Utilize the Innovator Method and facilitate design thinking workshops.

• Leverage cloud platforms, databases, data engineering, web technologies, and numerical methodologies.

• Keep abreast of developments in AI, LLMs, and agentic architectures.

• Collaborate with team members, share insights, and cultivate cross-departmental relationships throughout the organization.

⛳️ Requirements

• A Bachelor's degree in Computer Science or a related STEM field.

• 0–2 years of relevant experience in software engineering, data, or AI; internship and co-op experiences are acknowledged.

• Proficiency in programming and debugging using Python, C++, Go, or Rust.

• Familiarity with databases and SQL.

• Practical experience in Machine Learning, Large Language Models (LLMs), or Computer Vision.

• Background in developing solutions on a public cloud platform such as AWS or Azure.

• Strong academic performance.

• Experience in designing AI solutions and architecting distributed data systems.

• Understanding of LLM application technologies and methodologies, including RAG, agentic workflows, prompt engineering, vector databases, embeddings, and LLM evaluation.

• Experience in building and serving REST APIs, such as FastAPI or Flask.

• Familiarity with MLOps practices, including experiment tracking, model registries, automated training pipelines, and model monitoring.

• Proficiency with Git, CI/CD, containers, and agile development methodologies.

• AWS and/or Azure certification is preferred but not mandatory.

🏝️ Benefits

• Relocation Assistance Provided: No