Senior AI Engineer; Agentic AI & LLM Platforms
Listed on 2026-08-31
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Software Development
Software Engineer, Full Stack Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Product AI Engineer
You will work on an advanced AI-powered platform designed to revolutionize 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.
Your Impact:
- 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.
Qualifications:
- 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.
- Experience leading and mentoring highly capable team of engineers and ensure delivery on project timelines.
- Experience in System Design and Architecture (HLD/LLD).
- Experience building agents till deployment.
- Strong proficiency in 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.
Set Yourself Apart With:
- 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 technologies (AWS, Azure, etc.).
Benefits of Working Here:
- Wellness program and employee assistance.
- Generous paid leave and holidays.
- Comprehensive health benefits for you and your family.
- Flexibility to support work-life balance.
- Competitive compensation and benefits package.
- Access to ongoing learning and development opportunities.
- An inclusive workplace that promotes diversity and collaboration.
Pay Range: $165,000 - $195,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
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