Staff Engineer, Machine Learning, Gen AI

**Company 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 36 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! REQUIREMENTS: - Strong expertise in **backend engineering** using Python and modern backend frameworks. - Solid understanding of **ML-adjacent systems**, including embeddings, retrieval, ranking, and evaluation workflows. - Hands-on experience with **RAG architectures**, including document ingestion, chunking strategies, embeddings generation, and retrieval pipelines. - Experience with **vector similarity search** and retrieval quality metrics (precision, recall, nDCG, MRR). - Familiarity with AI-backed use cases such as **search, recommendations, assistants, and personalization systems**. - Hands-on experience with **ML/AI infrastructure and platforms**, including model integration, feature/metadata services, and offline/online parity. - Knowledge of **ML system observability**, evaluation hooks, data drift monitoring, and reliability metrics. - Strong understanding of **distributed systems fundamentals**: API design, idempotency, concurrency, retries, rate limiting, and circuit breakers. - Experience with **vector databases** such as FAISS, Pinecone, Milvus, and hybrid retrieval systems. - Familiarity with orchestration and AI tooling frameworks such as **LangChain, LlamaIndex**, or similar. - Strong backend integration capabilities using **REST APIs, Docker, Kubernetes, and microservices architectures**. - Preferred exposure to **cloud-native environments** and production-grade observability stacks. RESPONSIBILITIES: - Understanding the clients business use cases and technical requirements and converting them into **scalable backend and AI system designs**. - Mapping architectural and technical decisions to requirements and translating them clearly to engineering teams. - Identifying multiple backend and AI system design options and narrowing down the most effective solution based on quality, latency, and cost trade-offs. - Defining guidelines and benchmarks for **non-functional requirements** such as performance, reliability, scalability, and observability. - Writing and reviewing design documents covering **overall architecture, retrieval pipelines, backend services, and system integrations**. - Reviewing architecture and design across extensibility, scalability, security, design patterns, reliability, and NFRs, ensuring best practices are followed. - Designing and developing end-to-end solutions for defined functional and non-functional requirements using appropriate **backend and AI technologies**. - Understanding and applying **technology integration scenarios**, including ML model interfaces, feature services, and evaluation pipelines. - Resolving issues raised during code and design reviews through systematic root-cause analysis and well-justified technical decisions. - Carrying out **POCs** to validate proposed backend architectures, retrieval strategies, and AI system designs. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.