AI Automation Engineer, Partnerize
Partnership management software
Job no longer available
Partnership management software
201-500 employees
Job no longer available
201-500 employees
Company mission
To turn partnerships into a profit center.
Role
Who you are
- We're looking for passionate, talented people who want to be part of a winning team
- If you're ready to grow your career and make a difference, we'd love to hear from you
- 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)
What the job involves
- As the AI Automation Engineer, your primary focus will be to rapidly transition our AI vision into a production-grade, scalable reality
- 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
- Vertex AI Implementation: Design, develop, and deploy machine learning models and solutions exclusively using Vertex AI (e.g., Vertex AI Pipelines, Model Registry, Feature Store)
- Model Optimization: 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
Our take
Partnerize is a SaaS company offering a Partner Management Platform that helps businesses form, manage, analyze, and predict the outcomes of their partner marketing programs. Leveraging the power of AI, it streamlines the entire process, making it easier for companies to maximize their partner relationships.
As the world of partnerships evolves, Partnerize has positioned itself at the forefront of this dynamic field. With a growing range of sectors such as channel partnerships, influencer collaborations, loyalty programs, referral networks, and brand-to-brand alliances, the company has adapted to meet the complex needs of modern partner marketing, in addition to traditional affiliate marketing.
Partnerize is focused on providing its clients with an edge over the competition by automating as much of the partnership management process as possible. This commitment to efficiency, combined with its ability to leverage economies of scale, enables the company to address some of the industry's toughest challenges, including payments, ensuring that clients remain loyal to its platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2020
$50m
GROWTH EQUITY VC
Nov 2018
$9m
LATE VC
Total funding: $87.5m
Company benefits
- Incentives
- Generous wellness benefits and paid time off
- Robust parental leave
- Competitive retirement savings benefits
- Employee learning & development opportunities
Company HQ
Union Square, New York, NY
Leadership
Matt Gilbert
(CEO)Previously the CEO of Pepperjam and Kinetic Social. They also spent time as the Senior VP & GM at Merkle, and as the COO at 500Friends.
Salary benchmarks
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