Software Engineer – Scientific Computing, AI

Blueprint

Software Engineer developing software solutions that support scientific computing and machine learning at Blueprint Technologies. Collaborating with customers and teams to enhance data-driven innovation.

Posted 6/30/2026full-timeRemote • Washington • 🇺🇸 United StatesJunior💰 $32 - $35 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering principles, particularly in scientific computing and data science applications, while effectively utilizing AI and LLM technologies. Proven ability to collaborate with cross-functional teams and engage with customers to drive successful technical outcomes.

Highest-signal resume keywords

Software EngineeringAI/LLM TechnologiesGitHub and Version ControlMachine Learning ConceptsProblem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentScientific ComputingData Science ApplicationsAutomation WorkflowsSimulation-Based ProjectsSoftware Development Lifecycle (SDLC)Version ControlTestingDocumentationTroubleshooting

Soft Skills

Effective CommunicationCollaborationCustomer EngagementTechnical GuidanceProblem-Solving

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering

Industry Keywords

Computational ScienceResearch ApplicationsData-Driven ApplicationsModel Context Protocol (MCP)Community Projects

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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