Associate Staff Engineer(AI) at Nagarro SE in Remote, China

Job Description

Job Summary:

We are looking for a Senior Agentic AI Engineer to design, build, and optimize high-quality agentic AI applications. This role focuses on developing intelligent AI systems powered by generative AI, improving agentic engineering workflows, and integrating large language models with enterprise systems and data platforms. The ideal candidate combines strong technical depth in AI fundamentals and Python with hands-on experience in API development and system integration.

Key Responsibilities:

Design and develop high-quality agentic AI applications using generative AI technologies. Optimize agentic AI engineering processes for performance, scalability, and reliability. Fine-tune and enhance large language model-based systems for specific business use cases. Build and manage integrations between LLM systems, APIs, and enterprise applications. Integrate structured and unstructured data sources to support AI-driven workflows. Collaborate with cross-functional teams to translate product and business requirements into AI solutions. Ensure solutions follow best practices in software engineering, testing, security, and deployment. Monitor, evaluate, and continuously improve AI system performance and response quality.

Required Skills:

Strong expertise in Generative AI. Strong foundation in AI/ML fundamentals. Strong programming skills in Python. Capable in API development and integration. Experience building and deploying agentic AI applications. Knowledge of LLM fine-tuning, orchestration, and system integration. Ability to work with data integration pipelines and connected systems. Good to Have Product design experience. Understanding of user-centric AI solution design. Experience working in cross-functional product development environments.

Preferred Qualification:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field. Proven experience in developing and optimizing AI-driven applications. Familiarity with modern LLM frameworks, orchestration tools, and cloud-based AI environments. Strong problem-solving skills and ability to work in a fast-paced environment.