What we offer
At Evonik, you’re part of a global chemical company working in many sectors that go beyond chemistry. From lipids for tomorrow’s medicines, biosurfactants for green detergents, additives for plastics recycling or membranes to help drive forward the energy transition, you’ll play an essential part in helping the world’s most essential industries succeed.
Our success hinges on a diversity of ideas powered by people, not egos. Whether you’re a scientist or engineer, new to the team or established, in business, production, or anything in between – we cheer each other on. Because we believe we can do anything. Explore everything. And Be Part of Something Special!
Find out more about the many benefits we offer:
https://www.evonik.com/en/careers/why.html
Meet the team and get to know the people behind Evonik:
https://www.evonik.com/en/news/meet-the-team.html
RESPONSIBILITIES
- Solution Delivery: Work with internal customers to understand business problems, shape feasible AI solution options, validate value through prototypes, and deliver solutions into productive use.
- AI Engineering: Design, build, evaluate, and improve LLM-based applications such as RAG solutions, knowledge assistants, AI agents, tool-using workflows, and automation flows.
- End-to-End Implementation: Own the technical implementation from prototype to production, including application logic, APIs, data pipelines, orchestration, testing, deployment, documentation, monitoring, and continuous improvement.
- Data Engineering and Integration: Build the data and knowledge pipelines required for AI use cases, with a focus on reliable ingestion, preparation, retrieval, and access-control-aware use of information.
- Enterprise System Integration: Connect AI solutions with relevant enterprise systems (e.g. Microsoft, SAP), APIs, knowledge repositories, and operational data sources.
- Quality and Responsible Operation: Apply testing, evaluation, responsible AI practices, security, data protection, observability, cost awareness, and production support to ensure trustworthy enterprise use.
- Reusable Delivery Assets: Contribute reusable components, prompts, evaluation approaches, RAG and agent patterns, pipeline templates, and implementation guidance based on delivered solutions.
REQUIREMENTS
- Several years of hands-on experience in software engineering, AI application engineering, solution delivery, data engineering and/or enterprise integration with a proven ability to bring solutions into productive use.
- Strong practical experience with LLM-based solution development, especially retrieval-augmented generation, prompt and context engineering, tool use, and agentic workflows.
- Solid data integration skills for AI use cases, including working with structured and unstructured data, APIs, data quality, and operational reliability.
- Strong software engineering skills, especially in Python, with experience building APIs or backend components and applying SQL where needed for AI solution delivery.
- Practical experience using Azure or comparable cloud environments to deliver AI solutions, including managed LLM services, retrieval technologies, secure integration, and deployment of use-case-specific components.
- Familiarity with modern delivery workflows, including version control such as Git, Azure DevOps or comparable tools, CI/CD basics, containerized deployments, testing, monitoring, and support for delivered AI solutions.
- Ability to work directly with business users, clarify ambiguous needs, translate problems into technical options, validate value through prototypes, and communicate trade-offs clearly.
- Good understanding of how to evaluate and operate AI solutions responsibly, including quality, security, data protection, cost awareness, and safe use of agentic workflows.
- Additional experience with enterprise platforms, industrial systems, or scientific and technical data environments would be valuable.
Your Application
To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at www.evonik.com/en/careers.html.
Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.
Your Talent Acquisition Manager:
Samantha FuCompany is
Evonik (SEA) Pte. Ltd.Skills Required
- Several years of hands-on experience in software engineering, AI application engineering, solution delivery, data engineering, and/or enterprise integration, with experience bringing solutions into production.
- Practical experience developing LLM-based solutions, including RAG, prompt and context engineering, tool use, and agentic workflows.
- Experience integrating structured and unstructured data, APIs, data-quality processes, and operational systems.
- Strong Python software engineering skills, including API or backend development and SQL usage.
- Experience using Azure or comparable cloud environments for AI delivery, managed LLM services, retrieval technologies, secure integration, and deployment.
- Familiarity with Git, Azure DevOps or comparable tools, CI/CD, containerized deployments, testing, monitoring, and production support.
- Ability to work with business users, clarify needs, translate problems into technical options, validate prototypes, and communicate trade-offs.
- Understanding of AI evaluation and responsible operation, including quality, security, data protection, cost awareness, and safe agentic workflows.
- Experience with enterprise platforms, industrial systems, or scientific and technical data environments.
Evonik Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Evonik and has not been reviewed or approved by Evonik.
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Healthcare Strength — The U.S. package consistently includes medical, dental, and vision coverage, supported by HSA/FSA and an Employee Assistance Program. Benefits information highlights robust health coverage alongside base pay.
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Retirement Support — Retirement offerings include a 401(k) and references to legacy pension and retiree medical for eligible groups, indicating depth beyond a basic plan. Company materials and postings emphasize retirement support as part of a comprehensive package.
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Leave & Time Off Breadth — Paid time off, paid holidays, and parental leave are listed across recent U.S. postings. These time‑off programs appear as core elements of the package.
Evonik Insights
What We Do
Evonik is one of the world’s leading specialty chemicals companies. While we don’t produce electric cars, aircraft, medications or 3D printers, Evonik is part and parcel of these and many other end products. That’s because we contribute the small things that make a big difference. We make electric car batteries perform better, aircraft greener, medications more effective and 3D printers more efficient. In short: We think beyond the bounds of chemistry to make the world a better place. Today and tomorrow. We are an international group with a workforce of over 32,000 people spread across more than one hundred locations. Our daily work is shaped by global concerns, such as sustainability, diversity and digitalization. In all our business decisions, we take the present and future generations into consideration. After all, being ready for tomorrow is our business. Interested in joining our global team? Our wide range of opportunities extends from creative and innovative research through international management all the way to production. Whether you’re studying, starting out in your career or a seasoned professional, come help us make the world a better place. For more information about careers at Evonik, go to: www.careers.evonik.com. #HumanChemistry Find our netiquette on: www.evonik.com/netiquette
