Software Engineer

Publicis Groupe • New York, NY

201d • $72,390 - $109,480

About The Position

As a Software Engineer, GenAI & Applied Innovation, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiate Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey.

Requirements

• 3+ years professional software-engineering experience (or 4+ years with a relevant advanced degree).
• Intermediate-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.).
• Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications.
• Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.).
• Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex.
• Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling.
• Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement.
• Thrives in fast-moving, ambiguous environments; balances strategic vision with hands-on execution.

Responsibilities

• Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows.
• Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful.
• Develop occasional cross platform front ends (React, Next.js, Flutter) to showcase prototypes and MVPs.
• Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products.
• Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models.
• Embed observability, monitoring and automated CI/CD so experiments can harden into production quickly.
• Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers.
• Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences.
• Contribute to hackathons, design thinking sprints and CoreAI product road mapping initiatives.

Benefits

• Medical coverage
• Dental insurance
• Vision insurance
• Disability insurance
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree