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.
コグニザントについて
コグニザント(NASDAQ: CTSH)は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。







