> Markdown version of [/jobs/ext/4617314-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4617314-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Recruiting from Scratch - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $220,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Databases, Data Retrieval, Data Structures, Data Visualization, Python (Programming Language), Machine Learning, Software Engineering, Data Processing, Cloud Platform System, B2b Software - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-engineer-new-york-ny--21e52ecb-cde3-4348-be8e-34d4458fcaab ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI), Software Development, Funding, Business-to-Business (B2B) Software, Customer/Client Research, Leading Edge Technology, Customer Relations, Machine Learning, Revenue Growth, * 5-8 years of experience in machine learning engineering or a related field. * Proficiency in Python and experience with Langchain and vector databases. * Strong understanding of machine learning algorithms and data structures. * Demonstrated ability to turn customer proof into revenue-generating solutions. * Experience working in a collaborative, hybrid work environment. Preferred * Familiarity with cloud-based platforms and services. * Experience in B2B software development and enterprise-level solutions. * Knowledge of data visualization tools and techniques. ## Description * Develop and implement machine learning models to drive customer success and revenue generation. * Collaborate with cross-functional teams to integrate AI solutions into existing systems. * Utilize Python and Langchain to build scalable and efficient data processing pipelines. * Design and optimize vector database architectures for enhanced data retrieval and analysis. * Analyze performance metrics to continuously improve model accuracy and efficiency. * Participate in code reviews and contribute to best practices in software engineering. * Mentor junior engineers and contribute to team knowledge sharing.