Jobs at Evolver (evolver.ai)

Design and prototype practical AI methodologies (reasoning, retrieval, agents, verification, learning from feedback), evaluate alternatives, build Python/Azure prototypes and reference implementations, create evaluation benchmarks, and convert validated approaches into product-ready specifications while partnering with Product and Engineering for integration and refinement.

As an Applied Data Science Intern, you will work on data innovation projects, focusing on AI-driven solutions, machine learning pipelines, and enterprise integrations while receiving mentorship from experienced professionals.

The Senior Enterprise System Integrator will design and implement integrations between the platform and major enterprise systems. Responsibilities include building APIs, troubleshooting issues, and collaborating with multiple teams to ensure reliable performance of integrations.

Manage full-cycle recruiting for a high-growth AI startup: intake, sourcing, interviewing, offers, and closing across technical, leadership, and business roles. Partner with hiring managers, build candidate pipelines, track hiring metrics, improve processes, and support employer branding and onboarding initiatives.

Lead product strategy and execution for AI-powered enterprise products. Drive development from zero to one and establish product processes.

This role involves managing executive calendars, coordinating meetings and travel, and overseeing daily office operations in a fast-paced environment.

The Senior GenAI Engineer will design, develop, and deploy scalable GenAI applications using Python and cloud technologies, primarily on Azure. Responsibilities include leading GenAI development, optimizing large language models, and mentoring junior developers.

Develop and test AI-powered software solutions, collaborating with team members and learning about AI tools and frameworks.

The Forward Deployed Engineer will work with enterprise customers to deploy and integrate the AI platform, troubleshoot issues, and enhance operational processes, ensuring successful and scalable implementations.

As a Senior Python Developer, you'll lead the design and deployment of scalable applications, enhance system performance, mentor junior developers, and drive innovation in software development.