AI Automation Engineer - Contract Role

Partnerize • Philadelphia, PA

82d

About The Position

At Partnerize, we're on a mission to transform the way businesses grow. We've built the leading partnership automation platform that empowers brands to discover, engage, and convert their audiences at scale. From affiliate marketing to influencer collaborations, we help our clients build and manage profitable partnerships that drive real results. We're a team of passionate problem-solvers who are dedicated to helping our clients win in the ever-evolving world of digital marketing. We're looking for passionate, talented people who want to be part of a winning team. At Partnerize, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you.

Requirements

• Experience in Google Cloud Platform (GCP) and Vertex AI
• Proven hands-on experience designing and implementing AI Agent Frameworks using tools like LangGraph, LangChain, or ADK.
• Expert-level understanding of LLM concepts, including planning, tool use, autonomous task execution, and memory management.
• Demonstrable expertise in Retrieval-Augmented Generation (RAG) system design, vector databases (e.g., Redis), and embedding models.
• Fluency in Python.
• Ideal candidates are full-stack and can build Vercel/Next.js, React UIs.
• Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code for AI systems.
• Strong command of prompt engineering and generative AI model evaluation metrics (factuality, coherence).

Responsibilities

• 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 techniques using modern frameworks like LangChain, LangGraph, or the Google ADK/Agent Engine.
• Own the technical implementation details of agent-based systems, ensuring they are scalable, secure, and highly performant.
• Design, develop, and deploy machine learning models and solutions exclusively using Vertex AI (e.g., Vertex AI Pipelines, Model Registry, Feature Store).
• Conduct model tuning, fine-tuning of LLMs (such as Gemini), and optimization of RAG architectures for performance, latency, and cost-effectiveness.
• Develop a comprehensive, documented set of best practices and standards-the 'Agent Definition Blueprint'-for building robust and maintainable AI agents.
• Implement fixes, troubleshoot existing agent workflows, and optimize agent logic as assigned by the technical team.

Benefits

• Flexible Time Off Policy - Take the time you need
• Enhanced Parental Leave: 16 weeks for birth parent, 8 weeks for non-birth parent at full pay after one year employment
• Robust Company Sponsored Health & Welfare Benefits
• 401k Plan - 4% employee match
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 251-500 employees