Partnerize
Overview
Partnerize is on a mission to transform how businesses grow. We’ve built a leading partnership automation platform that helps brands discover, engage, and convert their audiences at scale, from affiliate marketing to influencer collaborations. We’re a team of problem-solvers dedicated to helping clients win in the evolving world of digital marketing. Why Join Us We’re looking for passionate, talented people who want to be part of a winning team. You’ll find a culture of collaboration, innovation, and respect. We are guided by our core values and strive to create an environment where everyone can do their best work. We offer a competitive salary, generous benefits, and a flexible work environment that supports personal and professional growth. If you’re ready to grow your career and make a difference, we’d love to hear from you. The things you care about At the heart of our platform we track performance marketing data and build solutions to turn this data into useful information for our customers. We process a large volume of data, generating over a billion events daily. We aim to make data available in real-time using a REST API-first approach. Our Agentic AI framework is hosted in Google Cloud and uses technologies like React.js, Redis, Vertex AI, LangGraph, and Gemini as our foundational model. We are seeking a highly skilled AI Automation Engineer to play a foundational role in building and scaling our next-generation AI Co-Pilot initiative. The engineer will lead the design, build, and deployment of sophisticated AI agents within our Agentic AI ecosystem.
What You'll Do
As the AI Automation Engineer, your primary focus will be to rapidly translate our AI vision into production-grade, scalable reality. Your responsibilities will include: Serve as the primary technical architect for the design and construction of our early-stage agentic AI framework. Architect, prototype, develop, test and deploy end-to-end RAG pipelines, incorporating vector search, hybrid retrieval, and advanced contextual compression using frameworks like LangChain, LangGraph, or Google ADK/Agent Engine. Own the technical implementation details of agent-based systems, ensuring they are scalable, secure, and high performing. Vertex AI Implementation: design, develop, and deploy ML models using Vertex AI (e.g., Pipelines, Model Registry, Feature Store). Model Optimization: tune and fine-tune LLMs (e.g., Gemini) and optimize RAG architectures for performance, latency, and cost. Develop a comprehensive set of best practices—the "Agent Definition Blueprint"—for building robust AI agents. Implement fixes and optimize existing agent workflows and logic as assigned.
What You Bring
Experience with Google Cloud Platform (GCP) and Vertex AI Hands-on experience designing AI Agent Frameworks using LangGraph, LangChain, or ADK Deep understanding of LLM concepts: planning, tool use, autonomous task execution, memory management Expertise in Retrieval-Augmented Generation (RAG), vector databases (e.g., Redis), and embeddings Fluency in Python Ability to build full-stack components and UI with Vercel/Next.js/React Experience with DevOps, CI/CD, and infrastructure-as-code for AI systems Strong prompt engineering and evaluation metrics for generative AI (factuality, coherence)
US Benefits & Perks
Flexible Time Off Policy Enhanced Parental Leave: 16 weeks for birth parent, 8 weeks for non-birth parent Robust health and welfare benefits 401k Plan with 4% employee match Wellness program including EAP and coaching Fridays program and regular company events
Our Commitment to Diversity & Inclusion
We are committed to attracting, developing, and advancing our outstanding team members regardless of race, ethnicity, sexual orientation, religion, age, gender, gender identity, abilities, or any other dimension of diversity. We strive to foster an environment where people can be authentic, raise concerns, and innovate while being treated fairly and with respect. Every individual is expected to live this commitment.
Privacy and Data Protection
The data collected as part of this application will be used for the recruitment process and potential employment. See Partnerize privacy policy for details: https://partnerize.com/privacy-policy/
Notice to Recruiters and Staffing Agencies
Partnerize does not accept unsolicited resumes except from candidates or approved vendors with a signed agreement. Do not contact or forward resumes to our employees or locations. Unsolicited resumes will be considered Partnerize property.
Role Details
Seniority level: Mid-Senior level Employment type: Contract Job function: Engineering and Information Technology Industries: Advertising Services
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Partnerize is on a mission to transform how businesses grow. We’ve built a leading partnership automation platform that helps brands discover, engage, and convert their audiences at scale, from affiliate marketing to influencer collaborations. We’re a team of problem-solvers dedicated to helping clients win in the evolving world of digital marketing. Why Join Us We’re looking for passionate, talented people who want to be part of a winning team. You’ll find a culture of collaboration, innovation, and respect. We are guided by our core values and strive to create an environment where everyone can do their best work. We offer a competitive salary, generous benefits, and a flexible work environment that supports personal and professional growth. If you’re ready to grow your career and make a difference, we’d love to hear from you. The things you care about At the heart of our platform we track performance marketing data and build solutions to turn this data into useful information for our customers. We process a large volume of data, generating over a billion events daily. We aim to make data available in real-time using a REST API-first approach. Our Agentic AI framework is hosted in Google Cloud and uses technologies like React.js, Redis, Vertex AI, LangGraph, and Gemini as our foundational model. We are seeking a highly skilled AI Automation Engineer to play a foundational role in building and scaling our next-generation AI Co-Pilot initiative. The engineer will lead the design, build, and deployment of sophisticated AI agents within our Agentic AI ecosystem.
What You'll Do
As the AI Automation Engineer, your primary focus will be to rapidly translate our AI vision into production-grade, scalable reality. Your responsibilities will include: Serve as the primary technical architect for the design and construction of our early-stage agentic AI framework. Architect, prototype, develop, test and deploy end-to-end RAG pipelines, incorporating vector search, hybrid retrieval, and advanced contextual compression using frameworks like LangChain, LangGraph, or Google ADK/Agent Engine. Own the technical implementation details of agent-based systems, ensuring they are scalable, secure, and high performing. Vertex AI Implementation: design, develop, and deploy ML models using Vertex AI (e.g., Pipelines, Model Registry, Feature Store). Model Optimization: tune and fine-tune LLMs (e.g., Gemini) and optimize RAG architectures for performance, latency, and cost. Develop a comprehensive set of best practices—the "Agent Definition Blueprint"—for building robust AI agents. Implement fixes and optimize existing agent workflows and logic as assigned.
What You Bring
Experience with Google Cloud Platform (GCP) and Vertex AI Hands-on experience designing AI Agent Frameworks using LangGraph, LangChain, or ADK Deep understanding of LLM concepts: planning, tool use, autonomous task execution, memory management Expertise in Retrieval-Augmented Generation (RAG), vector databases (e.g., Redis), and embeddings Fluency in Python Ability to build full-stack components and UI with Vercel/Next.js/React Experience with DevOps, CI/CD, and infrastructure-as-code for AI systems Strong prompt engineering and evaluation metrics for generative AI (factuality, coherence)
US Benefits & Perks
Flexible Time Off Policy Enhanced Parental Leave: 16 weeks for birth parent, 8 weeks for non-birth parent Robust health and welfare benefits 401k Plan with 4% employee match Wellness program including EAP and coaching Fridays program and regular company events
Our Commitment to Diversity & Inclusion
We are committed to attracting, developing, and advancing our outstanding team members regardless of race, ethnicity, sexual orientation, religion, age, gender, gender identity, abilities, or any other dimension of diversity. We strive to foster an environment where people can be authentic, raise concerns, and innovate while being treated fairly and with respect. Every individual is expected to live this commitment.
Privacy and Data Protection
The data collected as part of this application will be used for the recruitment process and potential employment. See Partnerize privacy policy for details: https://partnerize.com/privacy-policy/
Notice to Recruiters and Staffing Agencies
Partnerize does not accept unsolicited resumes except from candidates or approved vendors with a signed agreement. Do not contact or forward resumes to our employees or locations. Unsolicited resumes will be considered Partnerize property.
Role Details
Seniority level: Mid-Senior level Employment type: Contract Job function: Engineering and Information Technology Industries: Advertising Services
#J-18808-Ljbffr