Project Engineer, Sr. Level

Project Engineer

The Marketing Software and AI Marketing Engineer will serve as the technical architect and builder for an evolution in Martech and Marketing Operations, with a focus on AI transformation. This is a hands-on role ideal for a full-stack software engineer experienced with AI agents and APIs. You will build, deploy, and maintain the tools that power AI-assisted marketing workflows, from LLM-based agents to Martech automation.

Using your software engineer foundation with an experimental mindset, you'll work closely with both internal and external stakeholders, and client's global marketing, IT, and governance teams to bring real-world use cases to life. This includes both net-new development and the systems needed to support scale: instrumentation, QA, compliance, and version control.

Key Responsibilities

• Build and deploy automated agents for marketing use cases (content generation, copy assistance, personalization, automation)
• Develop and maintain prompt chains, context profiles, and secure API wrappers
• Integrate with client's Martech stack (CRM, CMS, analytics, data warehouses)
• Own the AI deployment lifecycle: prompt versioning, rollback support, sandboxing, validation and performance monitoring
• Design instrumentation and success metrics to evaluate agent performance and content quality
• Support data governance, QA, and compliance with internal policies and external regulations
• Document systems, deployment protocols, and technical standards for future scaling

Qualifications

• 3–6 years in software engineering, with proven success in defining test cases and making designs or architectures
• AI tooling and applied ML development
• Proficient in Python, JavaScript/Type Script, APIs, Git, and cloud services (AWS, Azure, or GCP)
• Experience with OpenAI, Claude, Bedrock, Lang Graph, or similar frameworks
• Experience with LLM validation tools such as Ragas or Deep Eval as well as non-LLM-as-a-judge approaches
• Skilled in experimentally driven human-computer interaction (HCI) or data analytics/data science with good eye for design and ability to create valid experiments identifying assumptions, limitations and theoretically grounded predictions
• Familiarity with marketing systems, user workflows, and enterprise security best practices
• Ability to translate marketing concepts into modular, testable systems
• Strong ownership mindset and comfort operating in pilot-to-scale environments