Senior AI Applications Engineer

Job Description

Business SummaryThe Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive.

If you’re looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry. Position ResponsibilitiesAbout the RoleWe’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 ResponsibilitiesImplement complex AI-powered ERP components across multiple domains following architectural guidanceApply prompt engineering frameworks and patterns established by architects across the ERP platformIntegrate machine learning capabilities including predictive analytics, anomaly detection, and recommendation systems into production featuresImplement microservices and APIs connecting AI capabilities with core ERP business logic according to established patternsCollaborate with architects and technical leads on implementation approaches for complex features, providing input on technical feasibilityOwn complex feature development from implementation through delivery, coordinating with product, UX, and other engineering teamsEnsure quality through comprehensive testing, performance optimization, and proper monitoring instrumentationParticipate actively in code reviews focusing on code quality, maintainability, and adherence to established patternsMentor intermediate and entry-level engineers through pairing, implementation guidance, and technical problem-solvingIdentify technical debt in existing code and contribute to refactoring effortsProvide technical input to architects based on hands-on implementation experienceQualificationsEducation & ExperienceBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or related technical field5-8 years of professional software engineering experience with exposure to AI/ML systemsProven experience delivering complex features and mentoring engineers in production environmentsTrack record of implementing scalable, high-performance enterprise software or SaaS platformsExperience with multi-tenant architectures and enterprise-scale systems preferredTechnical SkillsProgramming Languages: Expert-level proficiency in Java (Java 17+) and Python with strong software design principlesFrameworks: Deep experience with Quarkus, Spring Boot, or similar frameworks; understanding of reactive and async patternsDatabase: Advanced PostgreSQL skills including writing performant queries, understanding indexing strategies, and implementing multi-tenant data isolation patternsPrompt Engineering: Extensive experience implementing prompt systems, working with RAG (Retrieval-Augmented Generation), and optimizing LLM interactionsImplementation Patterns: Experience implementing microservices, event-driven patterns, and distributed systems following established service boundariesAPI Development: Expert in implementing RESTful APIs, GraphQL endpoints, and integration patternsDevelopment Tools: Advanced Git workflows, CI/CD pipeline usage, containerization (Docker), and modern development practicesCloud Platforms: Hands-on experience implementing solutions on AWS, Azure, or OCI using managed servicesObservability: Experience leveraging logging, metrics, and tracing in production systemsLeadership: Strong communication skills and ability to provide technical guidance and mentor engineersAI-First MindsetThis 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. Compensation InformationThe U.

S. salary range for this position is $68500. 00 – $119750.

00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.

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