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Publicis Groupe · 1 day ago

Engineer, Software

Chicago, IL

Full-time

Hybrid

Mid Level

$72K/yr - $100K/yr

3+ years exp

Publicis Groupe is a global leader in communication, and they are seeking a Software Engineer to join a collaborative team focused on GenAI innovation. The role involves transforming innovative techniques into practical tools, collaborating with product leadership, and contributing to data engineering efforts to deliver reliable solutions.

AdvertisingMarketingPublic Relations

Responsibilities

Work with the Product Owner to turn vision and requirements into practical software designs that bring GenAI concepts into real-world applications

Contribute to defining coding standards, guidelines, and reusable patterns that help the team deliver reliable and innovative solutions

Build products that integrate services, APIs, databases, and data pipelines, ensuring scalable and resilient architectures

Collaborate with teammates through code reviews, pair programming, and knowledge sharing, guiding best practices and learning from others

Explore and evaluate emerging GenAI frameworks, tools, and data systems, recommending new approaches that can shape the product’s direction

Create technical specifications, system diagrams, and architecture proposals to share ideas and solutions with the broader team

Partner with UX designers, domain experts, and data scientists to craft user-focused solutions that combine AI capabilities, data workflows, and intuitive interfaces

Support DevOps processes by contributing to CI/CD pipelines, automated deployments, and the integration of AI models and services into production environments

Qualification

Backend services designCloud applications AWSCloud applications AzurePythonGenAI/LLM API integrationData pipelinesWorkflowsRelationalNon-relational databasesCI/CD pipelinesMicroservices architectureOOP principlesData security practicesMonitoringObservabilityFast-paced environment adaptability

Required

3+ years of professional software engineering experience

Strong experience designing and building backend services, microservices, and cloud-hosted applications on platforms such as AWS, Azure, or Databricks

Proficiency with Python and working knowledge of modern ML/AI libraries; hands-on experience integrating GenAI/LLM APIs (e.g., OpenAI, Claude, Gemini) into user-facing applications or service layers

Familiarity with AI agent orchestration, vector databases (e.g., Pinecone, OpenSearch, MongoDB Atlas), and frameworks like LangChain, LangGraph or LlamaIndex

Experience with relational and non-relational databases (PostgreSQL, MSSQL, MongoDB), as well as modern data platforms like Databricks or Snowflake

Knowledge of data pipelines and workflows, including ingestion, transformation, cleaning, and preprocessing

Working understanding of observability, monitoring, and performance tuning for production systems; experience building CI/CD pipelines and contributing to DevOps practices

Knowledge of modern architectural styles (DDD, event-driven, ports and adapters, microservices) and standard processes for scalable, maintainable systems

Strong foundation in writing clean, maintainable code with OOP principles, unit tests, and design patterns

Understanding of data security, compliance, and governance practices

Thrives in fast-paced, innovative environments and excels at balancing rapid prototyping with building scalable, production-ready solutions