Software Engineer – Scientific Computing, AI

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☕ Washington – Remote

☕ Washington – Remote

💵 $32 - $35 / hour

⏰ Full Time

🟢 Junior

🤖 AI Engineer

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Blueprint

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🛒 Retail

Retail • Financial Services • Health & Life Sciences

Blueprint is a technology consulting firm that helps organizations modernize their data platforms and accelerate AI adoption. They specialize in Databricks and lakehouse solutions, data migrations (including Snowflake-to-Databricks), data governance and Unity Catalog, cloud and infrastructure, generative AI (AI Factory), analytics, application development, and video analytics. Blueprint focuses on delivering fast time-to-value with accelerators like the Lakehouse Optimizer and Augmented FinOps, serving enterprise clients across regulated and data-intensive industries.

📋 Description

• 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