AI Growth Engineer

Kforce has a client in need of an AI Growth Engineer for a remote contract role through the end of the year. Summary: Our client is seeking an AI Growth Engineer to help drive customer acquisition, engagement, and retention through innovative AI-powered solutions. This role sits at the intersection of software engineering, artificial intelligence, analytics, and growth marketing, partnering with cross-functional teams to build scalable systems that improve marketing effectiveness and business performance. Responsibilities:

• AI Growth Engineer will design, build, and deploy AI-powered solutions that enhance marketing performance and customer growth
• Develop machine learning and generative AI applications for personalization, segmentation, lead scoring, and marketing automation
• Partner with Marketing, Product, Analytics, and Growth teams to identify and implement high-impact opportunities
• Build and maintain data pipelines that enable predictive analytics and marketing insights
• Design and optimize experimentation frameworks to measure campaign effectiveness and customer behavior
• As an AI Growth Engineer, you will evaluate, integrate, and operationalize AI technologies that improve acquisition, conversion, retention, and engagement
• Deliver automated insights and predictive models that support business decision-making
• 3+ years of experience in software engineering, machine learning, AI development, or data engineering
• Experience building and deploying production AI, ML, or generative AI solutions
• Experience working with marketing, growth, analytics, personalization, or customer data platforms
• Strong proficiency with Python, SQL, APIs, and cloud platforms (Azure, AWS, or GCP)
• Strong collaboration and communication skills
• Ability to translate business objectives into scalable technical solutions

• Experience with large language models (LLMs), prompt engineering, RAG, and agentic AI frameworks
• Experience with A/B testing, experimentation frameworks, attribution, and growth analytics
• Familiarity with marketing automation platforms, CDPs, and CRM ecosystems
• Experience building AI-driven customer engagement or marketing solutions
• Background supporting SaaS or subscription-based businesses