AI Solution Engineer (LLM & Agentic AI)
Evonik Industries AG7 days ago
Singapore, SingaporeSenior
Responsibilities
- Work with internal customers to understand business problems, shape AI solution options, validate value through prototypes, and deliver solutions into production.
- Design, build, evaluate, and improve LLM applications including RAG solutions, knowledge assistants, AI agents, tool-using workflows, and automation flows.
- Own implementations from prototype to production, including application logic, APIs, data pipelines, orchestration, testing, deployment, documentation, monitoring, and continuous improvement.
- Build reliable data and knowledge pipelines for structured and unstructured information, including ingestion, preparation, retrieval, and access-control-aware use.
- Integrate AI solutions with enterprise systems such as Microsoft and SAP, APIs, knowledge repositories, and operational data sources.
- Apply testing, evaluation, responsible AI, security, data protection, observability, cost awareness, and production support practices.
- Create reusable components, prompts, evaluation approaches, RAG and agent patterns, pipeline templates, and implementation guidance.
Requirements
- Several years of hands-on experience in software engineering, AI application engineering, solution delivery, data engineering, and/or enterprise integration, with a record of bringing solutions into production.
- Strong practical experience developing LLM-based solutions, especially retrieval-augmented generation, prompt and context engineering, tool use, and agentic workflows.
- Solid data integration experience involving structured and unstructured data, APIs, data quality, and operational reliability.
- Strong software engineering skills, especially Python, with experience building APIs or backend components and applying SQL where needed.
- Practical experience with Azure or comparable cloud environments, managed LLM services, retrieval technologies, secure integration, and deployment.
- Familiarity with Git, Azure DevOps or comparable tools, CI/CD basics, containerized deployments, testing, monitoring, and support.
- Ability to work directly with business users, clarify ambiguous needs, translate problems into technical options, validate prototypes, and communicate trade-offs.
- Understanding of responsible AI operation, including quality, security, data protection, cost awareness, and safe agentic workflows.
- Experience with enterprise platforms, industrial systems, or scientific and technical data environments is valuable.
Benefits
- Evonik offers a broad range of employee benefits; applications should be submitted online through the careers portal.
- Applicants should state their earliest possible starting date and salary expectations.
Categories
AI ApplicationsSolutions Engineering
About Evonik Industries AG
Evonik Industries AG is a public specialty chemicals company that develops and manufactures additives, high-performance polymers, silica, membranes, and ingredients for animal nutrition, healthcare, cosmetics, and industrial applications. It sells primarily to B2B customers in sectors such as automotive, construction, consumer goods, and life sciences. Headquartered in Essen, Germany, Evonik was formed in 2007 and operates globally, with production sites and R&D centers across more than 100 countries.