Application Support Engineer ensuring stability, performance, and reliability of enterprise web applications at Alight. Collaborating with development teams and acting as a technical contact for business applications.
About the role
- AI Engineer responsible for designing and developing agentic AI applications at KION. Integrating AI and ML solutions into KION's software data ecosystem for operational efficiency.
Responsibilities
- Design and implement scalable, production-grade AI/ML solutions based on AI use case requirements from internal customers
- Own agentic AI / ML system lifecycle from design to deployment, monitoring, and continuous improvement
- Build and maintain software services to serve AI agents / ML models and integrate into KION’s software data ecosystem
- Write clean, maintainable, and high-quality code, ensuring alignment to industry best practices
- Develop and enforce best practices in system design, software architecture, API design and coding standards and security
- Collaborate with data engineers and cloud engineers to establish AI/ML development environments for efficient model training, evaluation, streamline the model deployment process, including dependency and version management, and utilize cloud platforms (GCP preferred) when possible
- Collaborate with business and IT to develop GenAI based applications, supporting RAG, multi-agent, multimodal systems leveraging modern frameworks
- Build and maintain robust CI/CD workflows for AI/ML applications
- Partner with AI enablement teams across the organization as well as KION IT Cloud Infrastructure, AI Platform, and security and data privacy teams to ensure AI/ML capabilities align with IT framework and guidelines within KION.
Requirements
- BS/MS in Computer Science, Software Engineering, AI/ML, or a related field
- 3+ years of experience in AI / ML engineering, micro service and API development, or related fields
- Proven experience deploying and supporting agentic AI / ML models into production systems with SLA
- Strong experience with cloud platforms (preferably GCP) and related tools: Docker, Kubernetes, edge computing
- Experience working in agile development environments, delivering incremental enhancements that drive customer value
- Deep understanding of APIs, software integration, and system architecture in enterprise-scale environments
- Hands-on experience with GenAI application development and performance evaluation
- Working knowledge of common AI/ML algorithms, and LLMs (Large Language Models)
- Proficiency in Python (preferred) or other general-purpose programming languages
- Familiarity with orchestration tools: LangGraph, Airflow, Kubeflow, etc.
- Strong DevOps and CI/CD tools
- Proficiency in cloud-based architecture and experience with infrastructure automation (Terraform, Kubernetes).
Benefits
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
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