Senior AI Software Engineer – AI Applications & Enterprise Product Innovation

Location: Remote within the United States

Travel: Travel as needed for onboarding, team collaboration, and project alignment

Salary Range: $130,000 - $160,000 (base salary)

Reports To: Director of Product Development

Overview

Our client is seeking a highly hands-on Senior AI Software Engineer to architect, build, and scale AI-powered applications across a complex enterprise software platform focused on operational and business workflow solutions.

This is not a research-only, advisory, or prompt-engineering role. The ideal candidate will have proven experience personally designing and developing production-grade AI applications within enterprise environments. The organization is specifically looking for someone who has built AI-enabled business applications themselves, not simply directed teams or experimented with AI tools.

This role will serve as a key driver of AI adoption across the organization. The engineer will help define how AI capabilities are integrated into products and workflows while also mentoring and enabling other engineers as AI initiatives expand across the development organization.

The environment is best suited for someone who enjoys solving complex business problems, building practical AI applications from the ground up, and operating as both an architect and deeply hands-on engineer.

Key Responsibilities

Architect and develop AI-powered applications for a mature enterprise software platform
Design and build AI-enabled workflows that integrate business processes, enterprise data, and operational systems
Develop applications leveraging LLMs, machine learning capabilities, RAG architectures, AI agents, and workflow orchestration
Build scalable AI solutions integrated with enterprise business applications and operational workflows
Translate business and product requirements into production-ready AI applications
Contribute directly to hands-on software engineering and application development
Design and implement secure, maintainable, and scalable AI architectures
Develop integrations with APIs, databases, enterprise systems, and backend services
Participate in solution architecture, technical design, production coding, testing, deployment, optimization, and ongoing support
Train and mentor engineers and team members on AI tools, AI development practices, and implementation approaches
Help establish AI development standards and best practices across the engineering organization
Collaborate closely with product leadership and engineering teams to support AI roadmap initiatives
Work within mature enterprise systems while modernizing applications with AI-driven capabilities

Required QualificationsEnterprise Software Engineering

8+ years of professional software engineering experience
Strong hands-on experience with Java application development
Professional experience with Python development
Strong experience with SQL and enterprise database systems
Experience building and supporting enterprise business applications
Strong understanding of APIs, distributed systems, and backend integrations
Experience writing clean, scalable, maintainable production code
Strong understanding of software architecture and application lifecycle management
Experience with Git/version control systems

Applied AI Development Experience

Proven hands-on experience designing and building AI applications in production enterprise environments
Experience creating AI-enabled business applications, not solely AI experimentation or self-learning projects
Experience with LLMs, RAG architectures, AI agents, and workflow automation
Ability to architect and personally develop AI applications from scratch
Understanding of prompt engineering, context management, and LLM limitations
Experience implementing AI within business workflows and enterprise systems
Experience evaluating and applying AI capabilities to operational or customer-driven business requirements
Commercial experience using AI development tools and modern AI ecosystems

Communication, Leadership & Training

Experience mentoring, enabling, or training engineers and technical teams
Ability to explain technical concepts clearly across engineering teams
Comfortable helping organizations adopt new technologies and workflows
Strong collaboration and communication skills

Preferred Qualifications

Experience with Java Swing UI and RMI
Experience supporting operational, planning, scheduling, or workflow-driven enterprise software environments
Experience with cloud platforms such as AWS, Azure, or GCP
Experience with AI governance, security, or responsible AI practices
Exposure to .NET environments
Experience modernizing legacy enterprise applications
Familiarity with scalable AI deployment and performance optimization

Ideal Candidate Profile

Strong combination of enterprise software engineering and applied AI implementation experience
Personally built AI applications in real-world production environments
Comfortable owning both architecture and hands-on implementation
Able to mentor and elevate other engineers as AI adoption expands
Pragmatic and business-minded in applying AI capabilities
Comfortable working in evolving, fast-moving AI initiatives
Interested in helping shape the future AI direction of an established enterprise software organization

Work Arrangement

This role is open to candidates throughout the United States. While the position can operate remotely, periodic travel and onsite collaboration will be required, particularly during onboarding and initial integration with the engineering team.

Interview Process

Technical interview with engineering leadership
Team-based interview
Final interview with Product Leadership

AI / Java Developer

About the role