Software Engineer

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

📋 Description

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

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

• Manage features throughout their lifecycle, from design and implementation to testing, deployment, and ongoing production support.

• Create and present product architectures, write technical code, engage in design and code reviews, and demonstrate applications to stakeholders and senior leaders.

• Utilize the Innovator Method and facilitate design thinking workshops.

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

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

• Collaborate with colleagues, share insights, support the team, and foster cross-functional relationships throughout the company.

⛳️ Requirements

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

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

• Strong programming and debugging skills in Python, C++, Go, or Rust.

• Experience with databases and SQL.

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

• Familiarity with building solutions on public cloud platforms like AWS or Azure.

• Excellent academic performance.

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

• Knowledge of LLM application technologies and methodologies, including retrieval-augmented generation (RAG), agentic workflows, prompt engineering, vector databases, embeddings, and LLM evaluation.

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

• Understanding of MLOps practices, including experiment tracking, model registries, automated training pipelines, and model monitoring.

• Capable of facilitating design thinking workshops.

• Previous internship, co-op, or project experience in software, data, or AI.

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

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

🏝️ Benefits

• Relocation Assistance Provided: No.

• A collaborative and diverse team culture.

• Grants and philanthropic programming.

• Opportunity to engage with cutting-edge cloud, data, and AI technologies.

• Professional development through enhanced expertise in cloud platforms, data engineering, and AI technologies.