GenAI Engineer

Overview

is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates,  empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products include Performance (affiliate), Creator (influencer), and Advocate (customer referral), unifying every type of partner into one integrated platform.

As consumers increasingly rely on recommendations from people and communities they trust,  helps brands show up where it matters most. Today, over 5,000 global brands rely on  to power more than 225,000 partnerships that deliver measurable business results.

As a GenAI Engineer at , you will build AI solutions that transform how the company operates from the inside out. You will be part of the Internal GenAI Team within the productivity and efficiency capability, designing and implementing AI tools that elevate work experience across the organization. You will develop cutting‑edge technology that addresses diverse business requirements, enhances departmental productivity, and converts manual processes into streamlined automated workflows.

You will create and deploy tools that simplify and accelerate complex tasks, directly influencing how  leverages AI to work smarter.

• Build and deploy agentic AI solutions that enable autonomous task completion across business functions
• Develop reusable AI libraries and SDKs that accelerate product discovery and empower engineering teams
• Build specialized AI tools that transform manual workflows into efficient automated processes
• Design and implement smart internationalization libraries that enhance global user experiences
• Create and optimize RAG systems that make company knowledge instantly accessible
• Develop scalable orchestration frameworks for AI agents to handle complex business processes
• Engineer prompt management systems and versioning tools for consistent AI interactions
• Build and maintain AI-powered knowledge graphs to improve information discovery and utilization
• Create comprehensive LLM evaluation frameworks to ensure quality, accuracy, and performance
• Research, evaluate, and integrate third-party AI tools and SaaS solutions into the business
• Develop AI-powered analytics pipelines that transform unstructured data into actionable insights
• Implement conversational AI interfaces that streamline internal support and enhance productivity
• Stay current with advancements in GenAI, vector databases, and embeddings technologies
• Contribute to the internal AI community through knowledge sharing and best practices
• Work with cloud AI services to ensure scalability, reliability, and cost-effectiveness

• Software engineering fundamentals
• Experience with Python and relevant AI/ML frameworks and libraries
• Basic understanding of cloud platforms (GCP preferred, AWS/Azure acceptable)
• Experience working with at least one AI provider API (OpenAI, Anthropic, or Google Gemini)
• Basic familiarity with LLM orchestration frameworks like Lang Chain or Lang Graph
• Basic understanding of AI agents and automation concepts
• Understanding of vector databases and embedding models for semantic search
• Basic experience with pre-trained models and model deployment concepts
• Knowledge of RAG architectures and implementation patterns
• Ability to implement prompt engineering best practices for LLM applications
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to explain complex concepts to non-technical stakeholders
• Demonstrated hunger to learn, innovate, and stay current with the rapidly evolving AI landscape
• Ability to work collaboratively in a fast-paced environment

• Experience with Python and relevant AI/ML frameworks and libraries
• Hands-on knowledge of LLM orchestration frameworks like Lang Chain and Lang Graph
• Exposure to knowledge base and data indexing concepts (Llama Index familiarity is a plus)

• Flexible Working:
  Our Responsible…