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Blueprint Technologies

Software Engineer – Scientific Computing & AI

Blueprint Technologies
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about 5 hours ago
Remote, WorldwideEntry Level / Mid Level
H1B Sponsor

Responsibilities

  • Collaborate with product and engineering teams to support customer onboarding and technical adoption.
  • Develop, maintain, and own customer-facing GitHub repositories and related codebases.
  • Design, build, test, and deploy software solutions for scientific computing and data science applications.
  • Apply software engineering principles to address scientific, research, and computational challenges.
  • Create, maintain, and improve reusable AI agents, automation workflows, and community assets.
  • Utilize AI, LLMs, and agent-based technologies to enhance customer solutions and development processes.
  • Support machine learning and data science workflows through software development and integration efforts.
  • Contribute to simulation-based projects and computational science initiatives.
  • Troubleshoot technical issues, identify root causes, and implement effective solutions.
  • Follow software development best practices, including version control, testing, documentation, and code reviews.
  • Engage with customers to understand requirements, provide technical guidance, and drive successful outcomes.
  • Help establish and promote engineering best practices across customer and community projects.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 1–2+ years of professional experience in software engineering or software development.
  • 1–2+ years of experience using GitHub and version control systems in collaborative development environments.
  • 1–2+ years of experience or demonstrated familiarity with AI/LLM technologies, machine learning concepts, APIs, and Model Context Protocol (MCP) concepts.
  • Experience applying software engineering practices to scientific, research, computational, or data-driven applications.
  • Understanding of software development lifecycle (SDLC) principles, coding standards, testing, and source control.
  • Strong programming and problem-solving skills.
  • Ability to communicate technical concepts effectively with customers and cross-functional teams.
  • Experience troubleshooting software issues and implementing solutions.
  • Strong verbal and written communication skills.

Benefits

  • Medical, dental, and vision coverage.
  • Flexible Spending Account.
  • 401k program.
  • Competitive PTO offerings.
  • Parental Leave.
  • Opportunities for professional growth and development.

Categories

AI & MLBackendData Science