Lead Engineer

Description:

Publicis Media, part of Publicis Groupe, is seeking a Lead Engineer, Commerce Technology to design and implement AI/LLM-powered agentic workflow solutions that drive digital marketing and commerce innovations for global advertisers. This role involves leading a team of engineers to create scalable, modular, and efficient systems that empower performance marketing strategies across search, social, programmatic, and commerce channels.

This is an exciting opportunity to make a significant impact on a global platform, mentor engineering talent, and advance the integration of AI-driven solutions into marketing ecosystems.

Key Responsibilities

• Lead and mentor a team of engineers in developing AI/LLM-powered marketing applications.

• Define and own the technical roadmap aligned with product strategy and business goals.

• Design and implement robust, scalable, and modular distributed systems using cloud infrastructure.

• Build AI-driven workflows for content generation, personalization, predictive analytics, and real-time insights.

• Collaborate with product managers, designers, and stakeholders to translate business requirements into actionable solutions.

• Conduct code reviews, enforce coding standards, and maintain high-quality code delivery.

• Address technical debt, optimize performance, and ensure long-term maintainability.

• Research and integrate emerging AI/LLM technologies to enhance product capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.

• 8+ years of full-stack application development with Agile methodologies.

• 5+ years of cloud-based application development (AWS or GCP).

• 5+ years designing modular, distributed, and asynchronous systems.

• 2+ years leading full-stack development teams.

• 1+ years hands-on experience with LLM frameworks (LangChain, LangGraph, LlamaIndex, etc.).

• Expert proficiency in Python; experience with asynchronous queues (Kafka, RabbitMQ).

• Knowledge of data lake architectures and large-scale data handling.

• Experience with Docker, Kubernetes, CI/CD, and clean code principles.

• Strong understanding of algorithms, data structures, and software design.

Bonus Points:

• Familiarity with performance marketing concepts.

• Contributions to open-source projects.

Compensation & Benefits

• Salary range: $110,580–$173,995 annually (approx. $9,215–$14,499 monthly).

• Comprehensive benefits including medical, dental, vision, disability, 401k, parental and family leave, tuition reimbursement, and flexible time off.

Attributes for Success

• Proven leadership and mentoring skills in technical teams.

• Passion for AI/LLM-driven innovation in marketing technology.

• Strong problem-solving abilities and a collaborative mindset.