Posted May 6, 2026
As an AI Productivity Engineer, you will be responsible for leading the development and integration of AI-driven solutions across various business functions. Your expertise in AI, machine learning, and automation will be crucial in building scalable tools, optimizing internal processes, and accelerating go-to-market strategies. Key Responsibilities:
Lead the development and integration of cost-effective AI systems, utilizing large language models (LLMs) and AI agents to optimize business operations, automate workflows, and enhance customer support. - Develop and implement AI-based self-serve tools to reduce operational dependencies and boost team productivity. - Collaborate with product and engineering teams to embed AI-driven automation into products, customer support, and internal operations. - Set up evaluation frameworks for AI systems, drive experimentation, rapidly prototype solutions, and iterate from proof-of-concept to full-scale production deployment. - Assist in developing AI roadmaps and strategies to ensure solutions align with business objectives and compliance standards, and establish best practices for AI governance. Qualifications:
B.S. or M.S. in Computer Science or a minimum of 6 years in software development. - Bonus: Experience with machine learning frameworks and tools, along with a demonstrated track record of driving innovation through AI adoption. In addition to the above, the company offers:
Competitive compensation and benefits package. - Professional growth and career development opportunities. - A collaborative and innovative work environment that values continuous improvement and excellence. As an AI Productivity Engineer, you will be responsible for leading the development and integration of AI-driven solutions across various business functions. Your expertise in AI, machine learning, and automation will be crucial in building scalable tools, optimizing internal processes, and accelerating go-to-market strategies. Key Responsibilities:
Lead the development and integration of cost-effective AI systems, utilizing large language models (LLMs) and AI agents to optimize business operations, automate workflows, and enhance customer support. - Develop and implement AI-based self-serve tools to reduce operational dependencies and boost team productivity. - Collaborate with product and engineering teams to embed AI-driven automation into products, customer support, and internal operations. - Set up evaluation frameworks for AI systems, drive experimentation, rapidly prototype solutions, and iterate from proof-of-concept to full-scale production deployment. - Assist in developing AI roadmaps and strategies to ensure solutions align with business objectives and compliance standards, and establish best practices for AI governance. Qualifications:
B.S. or M.S. in Computer Science or a minimum of 6 years in software development. - Bonus: Experience with machine learning frameworks and tools, along with a demonstrated track record of driving innovation through AI adoption. In addition to the above, the company offers:
Competitive compensation and benefits package. - Professional growth and career development opportunities. - A collaborative and innovative work environment that values continuous improvement and excellence.
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