Staff Engineer, Dotnet with Generative AI

Nagarro; India; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

A Digital Product Engineering Company in India is seeking a candidate with over 7 years of experience in .NET Framework backend development and Cloud-Native Generative AI Development. Responsibilities include writing high-quality code, understanding client requirements, and defining technical designs. Strong skills in AWS architecture and hands-on experience with LLM systems are essential. A bachelor's or master's degree in a related field is required, along with strong communication skills to convey AI/ML concepts effectively.

Qualifications

• Total experience 7+ years.
• Knowledge of AWS architecture & AI service integration (Bedrock, SageMaker, Lambda).
• Experience with MCP server implementation and integration.

Responsibilities

• Write and review great quality code.
• Understand client’s use cases and technical requirements, translating them into design.
• Create and review architecture and design for extensibility and security.
• Carry out POCs to ensure design/technologies meet requirements.

Skills

Strong expertise in .NET Framework backend development

Strong experience in Cloud-Native Generative AI Development

Proven hands-on experience with LLM-based systems and RAG implementations

Strong understanding of embeddings, vector databases, and retrieval models

Strong communication skills

Frontend exposure using React or similar JS frameworks

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

Tools

AWS SDKs

LangChain

Langfuse

Job description

Overview

👋🏼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 (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Responsibilities

• Writing and reviewing great quality code.
• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Requirements

• Total experience 7+years.
• Strong expertise in .NET Framework backend development and API design.
• Strong experience in Cloud-Native Generative AI Development.
• Proven hands-on experience with LLM-based systems and RAG implementations.
• AWS architecture & AI service integration (Bedrock, SageMaker, Lambda).
• Experience with MCP server implementation and integration.
• Knowledge of AWS SDKs and cloud services.
• Experience with LangChain, Langfuse, or similar AI orchestration frameworks.
• Strong understanding of embeddings, vector databases, and retrieval models.
• Frontend exposure using React or similar JS frameworks.
• Strong communication skills with the ability to explain AI/ML concepts to technical and non-technical stakeholders.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.