Software Engineer

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

📋 Description

• Design, develop, and deploy production-ready applications powered by LLM, machine learning models, and APIs.

• Provide architectural consultation and deliver solutions for key data science and machine learning initiatives.

• Take ownership of features throughout their lifecycle, including design, implementation, testing, deployment, and ongoing production support.

• Construct and present product architectures.

• Produce high-quality technical code.

• Engage in design and code reviews.

• Demonstrate applications to stakeholders and senior leadership.

• Utilize the Innovator Method and lead workshops on design thinking.

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

• Stay updated with the latest advancements in AI, LLMs, and agentic architectures.

• Collaborate with colleagues, share knowledge, support the team, and cultivate cross-functional relationships.

⛳️ Requirements

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

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

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

• Experience with databases and SQL.

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

• Experience developing solutions on public cloud platforms such as AWS or Azure.

• Strong academic performance.

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

• Familiarity with 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.

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

• Ability to facilitate design thinking workshops.

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

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

🏝️ Benefits

• Relocation Assistance Provided: No.

• Collaborative and diverse team culture.

• Grants and philanthropic programming.

• Opportunity to deepen expertise in cloud platforms, data engineering, and AI technologies.

• Opportunity to work on innovative aerospace and defense projects.

• Internship and co-op experiences count toward professional experience.