Senior Staff Engineer - AI Engineer at Nagarro1

We are looking for a Lead AI Engineer / Senior Data Scientist to join our AI & Tech Accelerator. In this role, you will lead the design, development, and delivery of AI solutions, leveraging Machine Learning, Generative AI, and emerging Agentic AI patterns. You will play a key role in driving high-quality engineering practices, including code reviews, solution design, and mentoring, while remaining hands-on in development. Key Responsibilities: In this role, you will operate at the intersection of development, technical leadership, and delivery execution. Design & Develop AI Solutions: Design and build scalable AI/ML solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs). Contribute actively to development, ensuring high-quality, production-ready code. Code Review & Quality Governance: Lead code reviews and enforce best practices across the team, ensuring maintainability, scalability, and performance of AI systems. Establish coding standards and improve engineering quality. Generative & Agentic AI Implementation: Develop and implement Generative AI use cases, including RAG pipelines, prompt engineering, embeddings, and LLM integrations. Contribute to building agentic workflows and multi-step reasoning systems. Solution Delivery & Business Impact: Deliver AI solutions across business domains (marketing, supply chain, retail, operations), ensuring alignment with business requirements and measurable impact. Technical Leadership: Guide junior team members, support design decisions, and contribute to solution architecture under the guidance of senior architects. Cross-functional Collaboration: Work closely with Data Engineers, Product Managers, and DevOps teams to integrate AI models into scalable production systems. Mentorship & Knowledge Sharing: Mentor team members, support onboarding, and promote best practices across AI/ML development and deployment. What We Are Looking For: We are seeking a hands-on technical leader who can balance coding, code quality ownership, and team guidance, with a strong focus on delivery excellence. Education & Experience: • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field • 8–9.5 years of experience in AI/ML development and delivery • Proven experience in building and deploying production-grade AI/ML solutions • Strong experience in code reviews and team-level technical leadershipTechnical Expertise: AI/ML & Advanced Analytics: • Strong expertise in Machine Learning, Deep Learning, and statistical modeling • Experience in developing and deploying ML models in productionGenerative AI & LLMs: • Hands-on experience with LLMs (GPT, Claude, Llama, Gemini) • Experience in: • RAG (Retrieval-Augmented Generation) • Prompt Engineering & Context Handling • Embeddings & Vector Databases • Exposure to agentic frameworks (LangGraph, CrewAI, AutoGen) is a plusProgramming & Engineering: • Strong proficiency in Python, SQL, and software engineering principles • Experience with APIs, microservices, and scalable backend systemsMLOps & DevOps: • Experience with CI/CD pipelines, model deployment, and monitoring • Familiarity with tools like MLflow, Vertex AI, or similar platformsCloud & Data Platforms: • Experience with GCP (preferred) or other cloud platforms • Understanding of data pipelines, data lakes, and real-time processingSoft Skills & Mindset: Technical Ownership: Takes responsibility for code quality, delivery, and technical decisions within the team Collaboration: Works effectively across teams and contributes to a strong engineering culture Problem Solving: Ability to break down complex problems and deliver practical AI solutions Communication: Clearly articulates technical concepts to both technical and non-technical stakeholders