Software Mind
Technology
[VMT]PlatformAISoftwareEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“[VMT] Platform AI Software Engineer at Software Mind. Skills: Platform AI, System reliability, AI agent reliability. Diagnose technical issues. Resolve technical issues”
Industry & Context.
Problem-solving; Troubleshooting
What They're Looking For.
Must Have
8+ years software engineering, Python experience, Complex systems experience, Diagnose performance issues, LLM systems experience, Evaluate AI model outputs, Software architecture understanding, Improve code quality, Computer science fundamentals, Work independently, Problem-solving skills, Context-switch skills
Nice to Have
Observability background, Platform engineering experience, Cloud environments familiarity, Containerization experience, CI/CD pipelines experience, Startup environments experience, Improve system performance
What You'll Do.
Diagnose technical issues
Resolve technical issues
Improve observability
Investigate AI agent behavior
Improve output quality
Identify architectural bottlenecks
Implement system improvements
Collaborate with product teams
Understand real-world failures
Translate failures to solutions
Improve infrastructure performance
Improve services performance
Drive technical standards
Drive cleaner code practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Customer teams
Communication Scope
Translate problems
Process & Methodology
Agile
Full Job Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! Project - the aim you'll have We’re looking for a highly autonomous Platform AI Engineer to join our team and help strengthen the core systems behind our AI-powered product. This is not a traditional feature-focused backend role. Instead, this position sits at the intersection of AI systems, infrastructure, performance optimization, and platform reliability. You will work on cross-cutting technical challenges across the codebase diagnosing performance issues, improving observability, enhancing AI agent reliability, and elevating system-wide code quality. As part of a small, fast-moving team leveraging AI development tools (including Claude Code), you will have broad ownership and the opportunity to influence architecture, evaluation frameworks, and system scalability. This role requires strong systems thinking, adaptability, and the ability to operate independently in ambiguous environments. If you enjoy solving complex technical problems across multiple domains and improving entire systems, this opportunity is for you. ## Qualifications Expectations - the experience you need * 8+ years of professional software engineering experience. * Strong experience with Python (preferred), particularly in backend or systems environments. * Proven experience working with complex or distributed systems. * Demonstrated ability to diagnose and resolve system-wide performance issues. * Experience working with LLM-based systems or AI agents. * Experience evaluating, tuning, or improving AI model outputs. * Strong understanding of software architecture, scalability, and maintainability principles. * Experience improving code quality across large or evolving codebases. * Solid computer science fundamentals (algorit
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