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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 senior engineer, you'll own significant features that define next-generation enterprise software. You'll translate architectural vision into production code, mentor other engineers, and help establish patterns for AI-first development.

Key Responsibilities

• Implement complex AI-powered ERP components across multiple domains following architectural guidance
• Apply prompt engineering frameworks and patterns established by architects across the ERP platform
• Integrate machine learning capabilities including predictive analytics, anomaly detection, and recommendation systems into production features
• Implement microservices and APIs connecting AI capabilities with core ERP business logic according to established patterns
• Collaborate with architects and technical leads on implementation approaches for complex features, providing input on technical feasibility
• Own complex feature development from implementation through delivery, coordinating with product, UX, and other engineering teams
• Ensure quality through comprehensive testing, performance optimization, and proper monitoring instrumentation
• Participate actively in code reviews focusing on code quality, maintainability, and adherence to established patterns
• Mentor intermediate and entry-level engineers through pairing, implementation guidance, and technical problem-solving
• Identify technical debt in existing code and contribute to refactoring efforts
• Provide technical input to architects based on hands-on implementation experience

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related technical field
• 5-8 years of professional software engineering experience with exposure to AI/ML systems
• Proven experience delivering complex features and mentoring engineers in production environments
• Track record of implementing scalable, high-performance enterprise software or SaaS platforms
• Experience with multi-tenant architectures and enterprise-scale systems preferred

Technical Skills

• Expert-level proficiency in Java (Java 17+) and Python with strong software design principles
• Deep experience with Quarkus, Spring Boot, or similar frameworks; understanding of reactive and async patterns
• Advanced PostgreSQL skills including writing performant queries, understanding indexing strategies, and implementing multi-tenant data isolation patterns
• Extensive experience implementing prompt systems, working with RAG (Retrieval-Augmented Generation), and optimizing LLM interactions
• Experience implementing microservices, event-driven patterns, and distributed systems following established service boundaries
• Expert in implementing RESTful APIs, GraphQL endpoints, and integration patterns
• Advanced Git workflows, CI/CD pipeline usage, containerization (Docker), and modern development practices
• Hands-on experience implementing solutions on AWS, Azure, or OCI using managed services
• Experience leveraging logging, metrics, and tracing in production systems
• Strong communication skills and ability to provide technical guidance and mentor engineers

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.