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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
