AI Developer (Agentic AI & Generative AI)
About the Role
Key Responsibilities
- Design and build agentic AI solutions, AI copilots, and autonomous workflows that drive business value.
- Develop LLM-based applications using technologies such as RAG, APIs, embeddings, and vector databases.
- Create end-to-end AI pipelines covering data ingestion, orchestration, deployment, monitoring, and optimization.
- Implement multi-step reasoning and decision-making systems.
- Apply LLMOps and MLOps practices to ensure reliability, scalability, and maintainability of production AI solutions.
- Monitor and optimize AI applications for quality, latency, cost efficiency, and safety.
- Integrate AI systems with enterprise applications, APIs, and business platforms.
- Collaborate with business and technology teams to identify and deliver high-impact AI use cases.
- Stay current with advancements in Generative AI, agentic AI, and the broader AI ecosystem.
Required Experience
- 3–5+ years of experience in Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
- Hands-on experience building and deploying LLM-based or agentic AI applications.
- Experience integrating AI systems with APIs, tools, and enterprise platforms.
- Familiarity with orchestration frameworks such as LangChain or similar technologies.
- Knowledge of LLMOps and MLOps practices and AI lifecycle management.
- Experience working with data platforms and large-scale datasets.
- Experience working in Agile and cross-functional environments.
Required Skills
- Strong Python programming skills.
- Experience working with AI frameworks such as Hugging Face, LangChain, or similar technologies.
- Experience with Large Language Models, including:
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector Databases
- Understanding of agentic AI architectures, including tool usage, planning, memory, and orchestration.
- Experience building APIs and integrating AI capabilities into applications and workflows.
- Familiarity with modern data architectures and SQL.
- Understanding of AI evaluation methodologies focused on quality, safety, and performance.
- Strong analytical, problem-solving, and communication skills.
- Fluent English language skills; German is an advantage.
Nice to Have
- Experience with cloud AI platforms such as Azure AI, AWS, or Google Cloud.
- Knowledge of containerization and deployment technologies, including Docker and Kubernetes.
- Experience with enterprise-scale AI deployments.
- Understanding of Responsible AI and AI governance practices.
What We Offer
- 25 days paid vacation per year.
- Health Insurance Allowance.
- German language course reimbursement.
- Annual Performance Bonus to reward your impact and contributions.
- A collaborative, international work culture with opportunities for continuous learning and growth.
- Exposure to innovative AI and Generative AI projects with real-world business impact.
- The opportunity to work alongside experienced technology and business professionals in a dynamic environment.
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







