Requirements
Experience : 7.5+ Years
Mandatory hands-on Python coding capability for building production-grade GenAI, ML, and RAG pipelines.
Demonstrable experience in building agentic workflows, RAG optimizations, and scalable LLM integrations.
Strong foundation in traditional ML and data science, including feature engineering, model tuning, and statistical evaluation.
Proven experience using Compass AI services in production-grade projects.
Experience in building and optimizing ML pipelines on Azure.
Good command of the Arabic language (verbal and written) is a plus.
Responsibilities
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms, including Conversational AI, LLM-based agents, and multi-agent orchestration frameworks.
Design, code, and implement reusable frameworks, APIs, and SDKs for scalable enterprise consumption of AI capabilities.
Build production-grade GenAI/RAG/ML systems, implementing RAG pipelines, vector database integrations, and knowledge graph-based retrieval.
Own MLOps for LLM/ML workloads, including CI/CD, monitoring, retraining, observability, performance tuning, and drift detection.
Rapidly translate new research into applied solutions and experiment with emerging tools and techniques.
Evaluate AI frameworks and recommend enterprise adoption strategies.
Mentor and guide AI engineers, fostering a culture of experimentation and engineering excellence.
Lead end-to-end delivery of AI projects, managing risks related to performance, model drift, latency, and integration.
Ensure engineering quality through regular code and design reviews and coordinate with data scientists, platform teams, and stakeholders.
Own UAT planning, test case development, defect triaging, and ensure production rollout readiness.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
👋🏼 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 (19,500+ experts across 36 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!By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
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