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Turing Jobs (NOW HIRING)

Infrastructure Engineer

Manhattan, NY

$118K - $155K/yr

Client: Turing Role: End User Computing Engineer - AI Tools Enablement Location: NYC (Onsite) Employment Type - Fulltime Vetting Process - 3 interviews including one in person at NYC, N We are ...

How can we fine-tune our models to decrease hallucination and help Alex pass the Turing test? * How will our system architecture change as we scale to thousands more users, concurrently? Problems ...

Position Overview We're looking for an Engineering Lead / Architect who can own the technical direction of a complex platform modernization while staying hands-on enough to validate that direction ...

Position Overview We're looking for a Senior Product Engineer-a single, broad role that combines domain understanding, technical fluency, and architectural judgment, leveraging AI tools to deliver ...

Overview We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This leader would partner with our clients (leading LLM labs ...

Principal AI Engineer - Frontier Data

San Francisco, CA · On-site

$159K - $213K/yr

The Role We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines ...

About the Role We're seeking a highly skilled and motivated Forward Deployed Engineer (FDE) to work at the cutting edge of Generative AI deployments. In this role, you'll partner directly with ...

AI Engineer in ML Data

San Francisco, CA · On-site

$134K - $162K/yr

Backed by a world-class team - including ICPC champions, a Fields Medalist and an ACM Turing Award winner - we're building the future where all code is provably correct. About the role Join our team ...

Turing, Graham, and Gideon located in Milpitas, CA. This position will build relationships with residents and businesses within the community, assist with resident retention and increase service ...

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What type of projects and clients can Turing engineers expect to work with?

Turing engineers are connected with clients ranging from fast-growing startups to large enterprises across a wide variety of industries, such as fintech, e-commerce, health tech, and more. The nature of projects can vary—some may involve building new applications from scratch, while others might focus on optimizing or extending existing systems. Engineers typically collaborate with remote teams in agile environments, requiring adaptability and clear virtual communication. This diversity gives you a chance to build a broad portfolio, gain exposure to cutting-edge technologies, and enhance your skills through challenging assignments.

What is a Turing job?

A Turing job is a remote software engineering position offered through Turing.com, a platform that connects developers with top companies worldwide. Turing uses AI-driven matching to pair engineers with roles that fit their skills, experience, and preferences. These jobs are typically long-term, full-time positions with competitive salaries and opportunities to work with leading tech firms without needing to relocate.

Is working at Turing worth it?

Turing offers remote software engineering roles that typically require strong technical skills and proficiency in tools like Git and cloud platforms. Employees report competitive pay, flexible schedules, and opportunities for skill development, making it a viable option for qualified developers. However, individual experiences vary based on role and expectations.

What are the key skills and qualifications needed to thrive in the Turing position, and why are they important?

To succeed as a Turing engineer (a software engineer employed by Turing), you typically need a strong background in computer science, software development, and proficiency in relevant programming languages such as Python, JavaScript, or Java. Familiarity with version control systems like Git, cloud platforms, and experience with remote collaboration tools are common technical requirements; certifications in software development can be a plus. Excellent communication, self-motivation, and problem-solving skills are crucial for collaborating with distributed teams and adapting to diverse project needs. These abilities enable you to deliver high-quality code, collaborate effectively in a remote environment, and thrive in demanding, fast-paced tech projects.

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$118K - $155K/yr

Other

Posted 28 days ago


Job description

Client: Turing

Role: End User Computing Engineer – AI Tools Enablement
Location: NYC (Onsite)

Employment Type - Fulltime 

Vetting Process - 3 interviews including one in person at NYC, N


We are looking for an experienced End User Computing Engineer with strong expertise in endpoint management, application packaging, and deployment across Windows and macOS environments. The ideal candidate should have solid knowledge of enterprise AI tools such as Microsoft 365 Copilot, ChatGPT Enterprise, GitHub Copilot, and Claude, with the ability to deploy, troubleshoot, and optimize these applications at the endpoint level.

End User Computing Engineer – AI Tools Enablement

We are looking for an experienced End User Computing (EUC) Engineer with a strong focus on enterprise AI tools deployment and support across Windows and macOS environments. This role will be the primary point of contact for enabling, managing, and optimizing AI applications at the endpoint level.

Key Responsibilities:

·        Deploy, configure, and support enterprise AI tools such as Microsoft 365 Copilot, ChatGPT Enterprise, GitHub Copilot, Claude, and similar platforms

·        Troubleshoot AI tool issues related to performance, compatibility, access, and endpoint configurations

·        Manage application deployment using Intune, SCCM, Jamf Pro, Autopilot

·        Perform application packaging (Win32, .pkg/.dmg) for AI and productivity tools

·        Monitor and optimize endpoint performance impact of AI applications

·        Automate provisioning and deployment workflows using PowerShell/Bash/Python

·        Partner with AI, security, and infrastructure teams to ensure compliant and scalable rollouts

Must Have Skills:

·        Hands-on experience deploying and supporting enterprise AI tools (Copilot, ChatGPT Enterprise, GitHub Copilot, Claude, etc.)

·        Strong expertise in endpoint management (Intune/SCCM/Jamf)

·        Experience in application packaging & deployment across Windows and macOS

·        Proficiency in scripting/automation (PowerShell, Bash, or Python)

·        Solid understanding of endpoint performance tuning and troubleshooting for AI applications

Good to Have:

·        Experience evaluating and onboarding new AI tools in enterprise environments

·        Knowledge of security, compliance, and governance for AI tools

·        Certifications in Microsoft, Jamf, or endpoint management