More jobs:
AI/Java Developer
Job in
El Segundo, Los Angeles County, California, 90245, USA
Listed on 2026-06-07
Listing for:
Prosum Inc.
Full Time
position Listed on 2026-06-07
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 - $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…
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