Senior AI Engineer; Agentic AI & LLM Platforms

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. 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

You will work on an advanced AI-powered platform designed to revolutionise the software development lifecycle (SDLC). Unlike traditional solutions that focus on a single aspect of development, it offers a holistic suite of AI-driven tools spanning the entire SDLC—from product ideation to deployment. By integrating automated, self-learning agents, the platform enables AI-centric workflows, reducing manual intervention and enhancing efficiency at every stage.

It is pioneering an AI-first transformation of the software development lifecycle, addressing a fundamental industry need for more efficient, scalable, and automated software creation. With strong backing, an engaged user base, and a clear differentiation from competitors, it is poised to be a game-changer in AI-powered enterprise software development.

As a Product Engineer, you will be responsible for designing, developing, and maintaining high-quality digital products that drive business value. You will work closely with cross-functional teams to deliver scalable, innovative solutions that meet client needs and exceed user expectations.

• Collaborate with product managers, designers, and engineers to develop and enhance digital products.
• Lead and mentor team to Engineers to design, develop, and test software solutions that align with business and technical requirements.
• Ensure the scalability, performance, and security of digital products.
• Contribute to the end-to-end product development lifecycle, from ideation to deployment and maintenance.
• Stay updated on emerging technologies and industry best practices to drive continuous improvement.
• Troubleshoot and resolve technical issues to ensure smooth product operation.

• 7+ years of experience in software development and product engineering. Preferably with an internet product-based company.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, building processes, testing, and operations experience
• Should have experience leading and mentoring highly capable team of engineers and ensure delivery on project timelines.
• Should have experience in System Design and Architecture (HLD/LLD).
• Should have experience building agents till deployment.
• Strongproficiencyin Python with experience in LLM/agentic frameworks (Lang Chain, Llama Index,Lang Graph,crewAI,Auto Gen).
• Experience with data structures or algorithms and strong knowledge of computer science fundamentals.
• Experience in professional software development experience, including demonstrated experience designing, building, and operating scalable, production-grade systems
• Proficiency in one or more programming languages including, but not limited to Python,
• Strong knowledge of software development methodologies, tools, and processes.
• Experience in leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience with cloud platforms (AWS, Azure, GCP) and microservices architecture and distributed systems. Familiarity with Agile and Dev Ops practices

• Experience in full-stack development.
• Knowledge of CI/CD pipelines and automation tools.
• Exposure to AI/ML, data engineering, or blockchain technologies.
• Certifications in relevant…