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AI / Java Developer
Employment Type:
Perm
Job Number: 25513
Remote Options: Partial Remote
Job Description
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 -Â $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
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
Location: Remote within the United States
Travel: Travel as needed for onboarding, team collaboration, and project alignment
Salary Range: $130,000 -Â $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
- 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
- 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
- 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
- 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
- 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
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
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