Nagarro
Information Technology And Services
AssociateStaffEngineer(AI)
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Associate Staff Engineer(AI) at Nagarro. Skills: Generative AI, Python, API development, LLM. Design agentic AI applications. Optimize AI engineering processes”
What You'll Achieve.
improve agentic engineering workflows; optimize performance; optimize scalability; optimize reliability; support AI-driven workflows; continuously improve AI system performance; continuously improve response quality
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
expertise in Generative AI, foundation in AI/ML fundamentals, 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
Nice to Have
Product design experience, Understanding of user-centric AI solution design, Experience working in cross-functional product development environments, Familiarity with modern LLM frameworks, orchestration tools, and cloud-based AI environments
What You'll Do.
Design agentic AI applications
Optimize AI engineering processes
Fine-tune LLM-based systems
Build integrations between LLM systems
Integrate data sources
Collaborate with teams
Ensure best practices
Monitor AI system performance
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams
Full 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 moder
Applying for this Associate Staff Engineer(AI) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Nagarro?
Real rants from real employees. Read before you apply.