Associate Staff Engineer(Agentic ,RAG,LLM, Generative Ai)

Nagarro; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Nagarro is hiring for GenAI-focused roles in Pune, India. The candidate will build and optimize LLM-powered applications, develop intelligent workflows, and work with Azure, AWS, and Databricks to deliver scalable AI solutions for healthcare, pharmaceutical and commercial analytics use cases.

Join a dynamic engineering team to analyze datasets, build predictive models, and collaborate with stakeholders to translate requirements into robust AI platforms.

Qualifications

• Experience delivering GenAI solutions for Healthcare, Pharma, and Commercial Analytics.
• Experience with Retrieval-Augmented Generation (RAG) and AI orchestration.
• Ability to design enterprise-scale AI solutions with focus on performance and scalability.

Responsibilities

• Write and review high-quality code.
• Analyse client requirements and translate into technical solutions.
• Lead architecture discussions and define technologies and patterns.
• Coordinate requirements, schedules, and activities for development.
• Support UAT and production rollouts.
• Contribute to POCs to validate design choices.

Skills

GenAI proficiency

RAG workflows

AI Agents

Prompt engineering

ML/DL modelling

Data analytics

Architecting AI solutions

Performance optimization

Tools

Azure

AWS

Databricks

Job description

We're Nagarro, we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in.

REQUIREMENT:

• We are hiring experience in GenAI solutions for Healthcare, Pharma, and Commercial Analytics use cases.
• Build and optimize LLM-powered applications using Retrieval-Augmented Generation (RAG), AI Agents, Text-to-SQL, and Conversational AI frameworks.
• Develop intelligent workflows using modern GenAI frameworks and orchestration platforms.
• Design and implement enterprise-scale AI solutions with a focus on performance, accuracy, and scalability.
• Analyse healthcare, life sciences, and commercial datasets to generate actionable business insights.
• Develop predictive and statistical models to support business decision-making.
• Apply advanced analytics, machine learning, and GenAI techniques to solve complex business problems.
• Improve model performance through prompt optimization, evaluation, and fine-tuning techniques.
• Build and maintain scalable data pipelines supporting AI and analytics workloads.
• Work with cloud-native services on Azure and AWS environments.
• Utilize Databricks for large-scale data processing and AI model development.
• Ensure efficient data ingestion, transformation, and integration processes.
• Collaborate with business stakeholders, product teams, data scientists, and engineering teams to translate requirements into AI solutions.
• Participate in solution design, architecture discussions, and technical reviews.
• Contribute to best practices, reusable frameworks, and AI governance standards.
• Support deployment, monitoring, troubleshooting, and continuous improvement activities.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the clients needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements