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Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, 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. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview We are looking for an experienced engineer to design and orchestrate agentic workflows leveraging LangChain and LangGraph for AI-powered solutions. The role involves building reusable components, ensuring scalability, and integrating context-aware logic for data transformation in real-time marketing environments. Your Impact: Build and orchestrate agentic workflows using LangChain and LangGraph. Implement logic for context-aware agents to handle marketing-specific data transformation tasks. Develop reusable components for data ingestion, transformation, enrichment, and validation. Ensure reliability, scalability, and traceability across agent workflows Qualifications Your Skills & Experience: Strong hands-on experience with LangChain and LangGraph. Proficient in Python, FastAPI, and data transformation techniques. Experience with IDEs like VSCode and PyCharm and relevant Python libraries. Proficiency with AWS Cloud Services. Understanding of agent orchestration, memory management, and tools for LLM-powered workflows. Exposure to vector databases (e.g., FAISS, Chroma) and embedding-based retrieval. Prior experience with GenAI, CoPilot, or RAG-based systems. Familiarity with marketing data models and real-time customer journeys is a plus Set Yourself Apart With: Proven expertise in implementing solutions using LangChain and LangGraph frameworks. Strong proficiency in Python programming, FastAPI framework, and advanced data transformation techniques. Experienced in using development environments like VSCode and PyCharm, with deep knowledge of essential Python libraries. A Tip from the Hiring Manager: Ideal candidates will have prior experience in resource management from a consulting/technology firm. Additional information Gender-Neutral Policy 18 paid holidays throughout the year. Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being
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