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Playground Ai Jobs (NOW HIRING)

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

MuJoCo Playground, NVIDIA Warp, or Newton. * Omniverse Replicator or comparable synthetic data ... AI robotics engineers with strong reinforcement learning and simulation expertise. At TD SYNNEX ...

TD SYNNEX

Physical AI Engineer

Clearwater, FL · On-site

MuJoCo Playground, NVIDIA Warp, or Newton. * Omniverse Replicator or comparable synthetic data ... AI robotics engineers with strong reinforcement learning and simulation expertise. At TD SYNNEX ...

Fireworks

AI Product Engineer - Nexus

San Mateo, CA · On-site

$180 - $260/hr

AI spend at serious engineering orgs is exploding, one company burned its entire annual AI budget ... playground, fine-tuning workflows, and billing, scoping the problem, building it, shipping it ...

Indev

$180 - $240/hr

InDev is seeking a hands-on Senior AI Architect responsible for imagining, designing, building, and ... The ideal candidate will be looking for the freedom to shape their own creative playground and ...

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Playground Ai information

See salary details

$43.5K

$87.7K

$106.5K

How much do playground ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for playground ai in the United States is $87,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are Playground AI jobs?

Playground AI jobs typically involve working with artificial intelligence platforms to create, manage, and optimize AI-generated content, such as images, art, or text. Employees may work as engineers, developers, researchers, or support staff, contributing to the development and improvement of AI-powered creative tools. These roles often require a background in computer science, machine learning, or design, depending on the specific position. Playground AI teams collaborate to enhance user experience and expand the capabilities of AI-driven applications.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and familiarity with data processing tools are essential, along with relevant certifications such as TensorFlow Developer or AWS Certified Machine Learning. Analytical thinking, creativity, and effective communication set standout professionals apart in this field. These skills are crucial to designing, developing, and deploying robust AI solutions that solve real-world problems efficiently.

How does a role at Playground AI typically collaborate with cross-functional teams to deliver innovative AI solutions?

At Playground AI, professionals often work closely with product managers, data scientists, software engineers, and designers to bring AI-powered solutions from concept to deployment. Collaboration is highly encouraged through regular sprint meetings, brainstorming sessions, and code reviews, ensuring alignment on project goals and technical feasibility. This environment fosters learning from peers with diverse skill sets and encourages innovative thinking, which is essential given the fast-paced and evolving nature of AI technology. As a result, team members gain exposure to various aspects of product development and have opportunities to contribute ideas across different stages of the project lifecycle.

What is the difference between Playground Ai vs Data Scientist?

AspectPlayground AiData Scientist
Required CredentialsBasic understanding of AI tools, some coding skillsDegree in Data Science, Computer Science, or related field; often requires advanced certifications
Work EnvironmentCollaborative, tech-focused, often remote or in tech companiesResearch labs, tech firms, finance, healthcare; involves data analysis and modeling
Industry UsageUsed for AI experimentation, prototyping, and testingUsed for data analysis, predictive modeling, and decision-making

Playground Ai is a platform for experimenting with AI models, requiring basic technical skills. Data Scientists perform in-depth data analysis, modeling, and derive insights, often holding advanced degrees. While Playground Ai is more accessible for quick AI testing, Data Scientists engage in comprehensive data-driven projects.

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Playground Ai jobs near you
Infographic showing various Playground Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,736 per year, or $42.2 per hour.

Senior Backend Engineer (Golang & AI Automation)

EQL Tech

Seattle, WA • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Key responsibilities

  • Design, develop, and maintain backend services primarily using Golang, ensuring high scalability and reliability.

  • Create and evolve APIs and integration logic to support automation and complex workflows.

  • Lead infrastructure decisions and implement infrastructure-as-code using Terraform on AWS/ECS.

Job description

Senior Backend Engineer (Golang & AI Automation)

Location: Seattle, WA (Hybrid) or Remote (US-based) Job Type: Full-time Salary Range: $140,000 – $180,000 / year

The Opportunity

EQL Edtech is exclusively recruiting on behalf of our partner client: a high-growth, seed-stage startup based in Seattle that is redefining the future of work.

Imagine a world where complex professional workflows are automated simply by recording a screen. Our client is building the engine that makes this possible—transforming simple video inputs into fully automated, robust workflows using advanced AI.

This is a "ground floor" opportunity. As a Senior Backend Engineer, you won't just be closing tickets; you will be the architectural right hand to the CTO. You will define how the platform scales, how the AI integrates with the backend, and how the infrastructure handles complex, event-driven tasks.

The Mission: What You’ll Build

You will be responsible for the nervous system of the product. Your code will turn abstract AI concepts into reliable, scalable, and secure software.

  • Architect the Core: Drive the end-to-end design and development of backend services, primarily using Golang (with some Python). You will prioritize high scalability and reliability for a system that never sleeps.
  • Build for Automation: Design and evolve APIs and integration logic. You will balance the startup need for rapid iteration with the engineering discipline required for robust, maintainable systems.
  • Own the Infrastructure: Take the lead on infrastructure-as-code using Terraform on AWS/ECS. You will make the critical decisions regarding performance, security, and deployment pipelines.
  • Innovate with AI: Partner directly with the Founding Team to implement AI-driven product features and distributed architectures. If you are interested in Event-Driven Systems (e.g., Temporal), this is your playground.

Requirements

The Toolkit You Bring

We are looking for a builder who thrives in the ambiguity of a seed-stage environment. You don’t wait for perfect specs; you ask questions, propose architectural solutions, and ship.

  • Experience: 7+ years of backend engineering experience.
  • Tech Stack: Deep proficiency in Golang is essential. Proficiency in Python is highly preferred.
  • Infrastructure: Strong grasp of Infrastructure-as-Code (Terraform) and AWS cloud services (ECS, Lambda, etc.). Familiarity with modern CI/CD pipelines is a must.
  • Architecture: A proven track record of delivering large-scale APIs, microservices, or event-driven systems in a B2B SaaS environment. Experience with Temporal is a massive plus.
  • Mindset: You have a history of ownership. You have led complex projects from concept to deployment and can translate business goals into technical realities.

Benefits

Why Join Our Partner?
  • High Impact: You are joining at the seed stage. Your code and architectural decisions will directly shape the product and the future trajectory of the company.
  • Top-Tier Healthcare: Comprehensive medical (Platinum PPO), dental, and vision coverage—100% paid for employees, plus subsidized coverage for dependents.
  • Flexibility: A "best of both worlds" setup. Work fully remotely, or utilize the vibrant office space in Seattle if you prefer in-person collaboration.
  • Competitive Compensation: A salary range of $140k–$180k, commensurate with experience and location.

INDEQL