This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're building an enterprise ERP system from scratch where AI isn't a feature—it's the foundation. Join Deltek's Engineering and Technology team to create the first truly AI-native SMB ERP. Users will chat with their system instead of clicking through forms. Intelligent agents will handle routine tasks autonomously. And you'll use AI to write better code faster. This is a greenfield project. No legacy constraints. No technical debt. Just the opportunity to reimagine what enterprise software can be when designed for AI from day one. As a principal engineer, you'll: - Implement the most technically challenging features of the AI-powered ERP platform, serving as the go-to expert for complex integration and performance challenges - Develop reference implementations and coding patterns that other engineers follow when building AI-enhanced features - Implement sophisticated prompt engineering and LLM integration solutions, ensuring security, performance, and cost-effectiveness - Build production-ready ML integration code utilizing infrastructure provided by the dedicated AI/ML infrastructure team - Provide deep technical expertise on critical implementation challenges affecting multiple teams, offering solutions based on extensive hands-on experience - Collaborate with architects to validate technical approaches through proof-of-concepts and prototypes - Champion code quality, comprehensive testing, security best practices, and operational excellence - Identify and resolve complex technical debt that impacts multiple teams - Serve as technical advisor to architects and engineering leadership on implementation feasibility and development best practices - Mentor and develop senior engineers, elevating implementation capabilities across the engineering organization - Drive innovation through hands-on proof-of-concepts exploring novel approaches to ERP challenges Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field - 10+ years of professional software engineering experience with extensive hands-on AI/ML systems implementation - Demonstrated history of technical leadership through exceptional implementation quality on large-scale, business-critical systems - Proven track record of solving complex implementation challenges that enabled significant business outcomes - Experience providing technical guidance and mentoring senior engineers - Deep expertise in implementing enterprise software and AI/ML integrations with production deployments at scale Requirements - Master-level expertise in Java, Python, and ability to work effectively in multiple languages - Deep expertise in implementing distributed systems, microservices, event-driven patterns, and domain-driven design - Expert-level implementation skills with PostgreSQL including performance optimization, complex query development, and multi-tenant data patterns - Comprehensive expertise in implementing LLM systems, prompt engineering at scale, RAG architectures, and model integration - Experience establishing coding standards, testing patterns, and development workflows that improve team productivity - Expert knowledge of implementing cloud solutions and working with managed services across AWS/Azure/OCI - Deep expertise in implementing robust APIs, integration patterns, and extensible features - Expert in leveraging comprehensive monitoring, logging, and error handling - Strong understanding of implementing security controls, authentication/authorization, and data protection - Exceptional ability to communicate complex technical concepts and influence development approaches through collaboration - Ability to balance code quality with delivery timelines, provide practical technical guidance, and align development work with business goals AI-First Mindset This role requires embracing an AI-first approach where GenAI and agentic AI tools are essential collaborators, not optional supplements. We expect team members who naturally think in AI-enhanced workflows and proactively integrate intelligent automation to solve ERP development challenges more efficiently. The ideal candidate has strong interest in prompt engineering techniques and conversational AI systems, with understanding of how to craft effective prompts for business contexts. You should be curious about natural language processing and how AI enhances user experiences, along with basic awareness of AI ethics and prompt safety considerations. We're looking for someone who approaches ERP feature development by first asking: "How can AI help me build this functionality faster and better?" This includes being comfortable with rapid AI tool evolution, eager to experiment with new AI capabilities for prompt engineering and ERP optimization, and committed to sharing AI-enhanced approaches with the team. We value those who apply prompt engineering to solve real-world ERP business problems and see AI as a productivity multiplier for strategic development decisions, rather than a replacement for human expertise.

• Design and maintain assigned applications and processes • Lead the development, configuration, and implementation of solutions within multiple complex, inter-related systems • Architect, deploy, and optimize cloud-native and hybrid environments • Oversee the design and management of N-tier application structures • Collaborate with IT stakeholders to resolve complex challenges • Design and implement modular, reusable components and APIs • Serve as a technical representative of assigned programs/applications • Build and manage CI/CD pipelines • Author and maintain comprehensive documentation • Participate in defining coding, design, and architecture standards • Lead product teams in implementing access control and security measures • Develop and enforce testing strategies • Design security protocols and ensure appropriate application to systems • Diagnose and resolve intricate system issues • Continuously monitor and analyze system performance • Contribute to post-incident reviews and foster a culture of continuous improvement

• Design and ship full-stack features that delight users—from backend logic to pixel-perfect frontend. • Get your hands dirty with complex modules like our Interactive Video Authoring Tool or marketing automation workflows. • Write clean, scalable backend services in PHP, focusing on performance, robustness, and maintainability. • Build responsive, modern UIs in Vue.js, ensuring smooth interactions and high-quality UX. • Collaborate closely with PMs, designers, and engineers in fast feedback loops—we experiment, iterate, and ship. • Participate in deep, structured code reviews and help shape engineering standards. • Use AI-powered coding tools (Copilot, ChatGPT, Claude, Cursor) to accelerate development, exploration, and testing. • Squash bugs, refactor when needed, and always be on the lookout for better ways to do things.

• Reporting to the Engineering Manager, you develop scalable APIs and services, collaborating with the team to improve our services for reliability, performance and cost-efficiency. • Think creatively to work within a traffic-intensive and complex data processing environment. • Take full ownership of the software feature lifecycle from initial design through to deployment and operation. • Participate in code reviews, design sessions, and operational support of services the team owns.