Senior AI Python Engineer - FTC

Who We Are 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. Why Join Us 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. The things you care about At the heart of our platform we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach. The primary technologies we use are Python, PHP, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day. What you'll do In this role, you'll divide your time between two key areas: 50% AI agentic framework development - working with a dedicated team to design and extend internal AI tools that streamline operations and build new internal capabilities. 50% Partnerize platform development - contributing to the wider Partnerize product ecosystem, ensuring scalability and reliability for our customers. Day-to-day, you will: Build and maintain our agentic AI framework with input from stakeholders across the business. Contribute to the design and delivery of high-scale services that are resilient, fault-tolerant, and easy to maintain. Write clean, well-tested code with an eye on scalability and long-term maintainability. Collaborate with architects and engineers across different teams, balancing autonomy with teamwork. What you bring You are a software engineer with strong Python skills and experience applying AI in real-world systems. Specifically, you have: Hands-on experience building applications with LLM APIs (e.g. OpenAI, Anthropic, Google AI). Knowledge of AI development frameworks such as LangChain, LangGraph, or ADK. Experience building Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g. Pinecone, Chroma). Strong understanding of Python engineering, including Asyncio, FastAPI, and scalable distributed systems. Experience working with event streaming and data processing at scale (Kafka, similar). Solid grasp of computing fundamentals such as object-oriented programming, data structures, and system design. Practical experience with Agile delivery and modern engineering practices (clean code, TDD, CI/CD). Nice to have We don't expect you to have everything, but it would be great if you also bring: Experience with financial data processing. Familiarity with PHP systems and an interest in modernising legacy code. Operational awareness of Linux-based environments. At the heart of our platform we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our software platforms are powered by our REST APIs and everything is developed with an API-first approach. Our Agentic AI framework is hosted in Google Cloud and uses technologies like React.js, Redis, Vertex AI Agent Engine, ADK, LangGraph, and Gemini as our foundational model. We are seeking a highly skilled and experienced AI Automation Engineer to play a foundational role in building and scaling our next-generation AI Co-Pilot initiative. This engineer will be the technical lead for designing, building, and deploying sophisticated AI agents within our Agentic AI ecosystem. The ideal candidate has deep expertise with Gemini LLMs, agentic workflows (e.g., LangGraph/ADK), Retrieval-Augmented Generation (RAG), and a strong understanding of robust, production-ready cloud architectures. What You'll Do As the AI Automation Engineer, your primary focus will be to rapidly transition our AI vision into a 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 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. What You Bring 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). US Benefits & Perks (Not all benefits are eligible to workers in a contract role) 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 Our Commitment to Diversity & Inclusion We are committed to attracting, developing, and advancing our outstanding team members, regardless of race, ethnic identity, sexual orientation, religion, age, gender, gender identity, physical abilities, or any other dimension of diversity. We strive to foster an environment where people can be their authentic selves, raise concerns and innovate, all without fear; where they are treated fairly and respectfully, have equal access to opportunities and resources and can contribute fully to the organization's success. Every individual in our business is expected to live this commitment without exception. Privacy and data protection. The data collected as part of this application will be used for the recruitment process and any subsequent employment. You can find further information in Partnerize privacy policy here: https://partnerize.com/privacy-policy/ Notice to Recruiters and Staffing Agencies: To protect the interests of all parties, Partnerize will not accept unsolicited resumes from any source other than directly from a candidate or an approved vendor that has a written and signed agreement in place with Partnerize. Please do not contact or forward resumes to our company employees or locations. Any unsolicited resumes will be considered Partnerize property. Partnerize is not responsible for any charges or fees related to unsolicited resumes.