Staff Engineer Fast API Generative AI Python Django

Nagarro; Bengaluru; On-site; INR 8,00,000 - 16,00,000; Full time

Job summary

A digital product engineering company is looking for a skilled Python Developer to work on building REST APIs and deploying solutions using microservices architecture. The ideal candidate will have a strong background in AI and Machine Learning, with practical experience in deploying generative AI solutions. Responsibilities include writing quality code, analyzing functional requirements, and ensuring successful project implementations. This role offers opportunities to work on cutting-edge technology in a dynamic and innovative environment.

Qualifications

• Strong programming experience in Python, particularly with REST APIs.
• Proven expertise in microservices and deployment with Docker and Kubernetes.
• Strong knowledge of AI, Machine Learning, and NLP.

Responsibilities

• Write and review high-quality code.
• Analyze functional requirements thoroughly.
• Envision comprehensive solutions for defined requirements.

Skills

Programming in Python

Microservices architecture

AI and Machine Learning

NLP

LLM APIs

Docker

Kubernetes

Prompt engineering

Event-driven architectures

Backend security practices

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

• Strong programming experience in Python, specifically for building REST APIs (Fast API/Flask), Django.
• Proven expertise in microservices architecture and deployment with Docker and Kubernetes.
• Strong knowledge of AI, Machine Learning, and Natural Language Processing (NLP).
• Hands-on experience with key LLM APIs (OpenAI, Anthropic) and frameworks (Lang Chain, Llama Index).
• Practical experience with MCP (Model Context Protocol).
• Understanding of multi-agent systems and their design principles.
• Experience with RAG concepts: vector databases, embedding models, and semantic search.
• Expertise in implementing end-to-end RAG systems for knowledge-intensive applications.
• Proven experience in prompt engineering for diverse use cases.
• A track record of deploying generative AI solutions to production at scale, beyond POCs.
• Proficiency with server-side events and event-driven architectures.
• Excellent problem-solving skills and experience in debugging and optimizing complex systems.
• Solid understanding of backend security best practices (authentication, data protection).

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