Top Entry Level Python Jobs in Rochester, NY

As a Solution Architect, you will assist customers with onboarding and technical challenges, conduct demos and training, and engage in strategic discussions. You will work closely with Customer Success Managers and product management teams to enhance customer experience and drive platform adoption.

The opportunity involves lending coding expertise to train AI models by crafting and answering computer science questions and evaluating AI-generated code. Candidates can work flexibly from anywhere and need not have previous AI experience.

As a Site Reliability Engineer, you will ensure the stability and scalability of services through automation and engineering. You will work closely with cross-functional teams, promoting innovation and high-quality outcomes, and ensuring that monitoring, logging, and non-functional requirements are prioritized.

As a Solutions Engineer, you will help customers successfully implement Quasar's data and AI solutions by writing code, designing integrations, and collaborating with R&D based on customer feedback. The role involves technical problem-solving and ensuring solutions meet business objectives.

As a Backend Engineer on the LaunchDarkly AI team, you will design, build, and maintain scalable backend systems to support AI development. Responsibilities include implementing APIs, improving server performance, writing tests, and collaborating with product and design teams for new features.

As a Staff Solutions Architect, you will help customers and prospects understand the technical benefits of the Temporal platform, assist in evaluating applications for suitability, and support account executives in account planning. You will also act as a technical advisor, guiding customers through their use of Temporal's services, with a focus on distributed systems and cloud technologies.

You will design and implement data-driven solutions, create prototypes, and enhance existing products by collaborating with customers and colleagues. Responsibilities include maintaining data pipelines, driving AI model usage, and presenting findings to stakeholders.