Software Engineer – Scientific Computing & AI
New
B
Blueprint TechnologiesTechnology Solutions
100% remoteFull-TimeMiddle
Salary32 - 35.48 USD per hour
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Job Details
- Experience
- 1–2+ years of professional experience
- Required Skills
- Machine LearningData scienceRESTful APIsSoftware EngineeringGitHub
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.
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.
- Troubleshoot technical issues, identify root causes, and implement effective solutions.
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