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 (18000+ 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!
Job DescriptionWe 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.
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 leadership
- Technical Expertise: AI/ML & Advanced Analytics:
- Strong expertise in Machine Learning, Deep Learning, and statistical modeling
- Experience in developing and deploying ML models in production
- Generative 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 plus
- Programming & Engineering:
- Strong proficiency in Python, SQL, and software engineering principles
- Experience with APIs, microservices, and scalable backend systems
- MLOps & DevOps:
- Experience with CI/CD pipelines, model deployment, and monitoring
- Familiarity with tools like MLflow, Vertex AI, or similar platforms
- Cloud & Data Platforms:
- Experience with GCP (preferred) or other cloud platforms
- Understanding of data pipelines, data lakes, and real-time processing
Soft 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
Must have Skills: Data Modeling (Strong), Python (Expert), Generative & Agentic AI, Machine Learning, o Embeddings & Vector Databases,
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
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