Senior AI/ML Engineer (Agentic AI & RAG)

Job description

**JOB SUMMARY** At Publicis Sapient, we don’t just build technology; we create transformative solutions. By integrating Generative AI into our ecosystem, we’re shaping a new era of personalized and intelligent digital experiences for global clients. From building AI-driven content compliance systems to optimizing real-time decision-making, we leverage Large Language Models (LLMs) and cutting-edge AI technologies to solve industry-specific challenges. Join us in driving innovation and delivering true business value to our customers through the strategic application of cutting-edge AI and data-driven solutions. **About the Role** At Publicis Sapient, we are accelerating digital business transformation by building the next frontier of Generative AI. We are looking for a **Senior AI/ML Engineer** with a strong foundation in **Engineering Management** and deep technical expertise in **Agentic AI** . You won't just be experimenting with LLMs; you will be architecting, deploying, and managing complex **Multi-Agent systems** and **RAG pipelines** that solve high-impact enterprise challenges. If you have a "production-first" mindset and thrive in the terminal, this role is for you. **Key Responsibilities** - **Agentic Orchestration:** Design and implement autonomous Multi-Agent setups using **LangChain** and **LangGraph** to automate complex reasoning tasks. - **Advanced RAG:** Build high-performance Retrieval-Augmented Generation systems, optimizing vector databases, retrieval logic, and embedding strategies. - **End-to-End Deployment:** Own the full lifecycle of LLM pipelines—from fine-tuning and evaluation to containerization with **Docker** and deployment. - **Engineering Excellence:** Write clean, maintainable code following **PEP8 standards** and ensure production quality through rigorous testing and documentation. - **Technical Leadership:** Lead engineering management efforts for AI workstreams, ensuring scalable architecture and mentoring junior developers. **Your Technical Toolkit** - **Experience:** 6 – 9 years in AI/ML engineering, with a proven track record of shipping production-grade systems. - **GenAI Mastery:** Deep understanding of LLM architectures, fine-tuning methodologies, and prompt engineering. - **Frameworks:** 2+ years of hands-on experience with **LangChain** (knowledge of LangGraph is a major plus). - **RAG Expertise:** Solid understanding of vector stores (e.g., Pinecone, Milvus, Weaviate) and semantic search. - **DevOps & Tools:** Mastery of **Python** , Git, and **Docker** . Comfortable working extensively in the terminal. - **Problem Solving:** Strong attention to detail and the ability to debug complex, non-deterministic AI systems. **Qualifications** - Undergraduate degree in Computer Science, AI, Data Science, or equivalent professional experience. - Ability to work from our **Gurgaon, Noida, or Bangalore** offices **4 days a week** . **ABOUT US** Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabledstate, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession – combined with our culture of curiosity and relentlessness – enables us to accelerate our clients’ businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com