Software Engineer – Scientific Computing, AI

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🔥 0 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $32 - $35 / hour

⏰ Full Time

🟢 Junior

🤖 AI Engineer

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BPCS, Comprehensive marketing solutions, ltd.

WebsiteLinkedInAll Job Openings

1 - 10 employees

Big agencies give you big talent for big money, but less time & commitment. Little agencies give you little less talent for little less money, but full dedication. What you want is the best from both worlds. What you need is big little agency. And you have just found it.

📋 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