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Agent Builder and Dev

Building the Future of Open Source + Decentralized AI
At Prime Intellect, we are on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models. Our ultimate goal? Openly accessible AGI that benefits everyone. But we can't do it alone and we want to do this together with you.

We are building the infrastructure for decentralized AI development at scale. We aggregate global compute and enable researchers to collaboratively train state-of-the-art models through distributed training across clusters.


Role Impact

This is a hybrid position spanning the quick and iterative development of AI agents and frameworks and advancing the underlying infrastructure. You’ll focus on:

  1. Building the next-generation AI agents to handle workload management and automation.

  2. Building out the underlying agent infrastructure that power different kinds of agents.

  3. DevRel + Content: Create technical content to drive adoption, engage communities for collaboration and feedback, and coordinate across teams to align technical and product goals.


Core Technical Responsibilities

Rapid AI Agent Development

  • Prototype & Iterate: Build and refine AI agents for workload management, automation, and real-time decision-making.

  • Framework Integration: Contribute to and extend agent frameworks to handle evolving feature requests and performance needs.

  • Experimental Features: Quickly explore new agent capabilities (e.g., multi-agent collaboration, memory architectures) to guide design choices.

Agent Infrastructure & Backbones

  • Scalable Deployments: Architect and maintain systems that support distributed AI agent execution at scale.

  • Networking & Coordination: Implement robust protocols for data exchange and coordination across distributed agents.

  • System Observability: Leverage monitoring tools (Prometheus, Grafana) to track agent performance and resource utilization.

  • Resource Orchestration: Manage containerized environments (Kubernetes, Docker) and automate infrastructure (Terraform, Ansible) for seamless agent operations.

Collaboration & Community Engagement

  • Cross-Team Alignment: Work closely with product, research, and other engineering teams to identify key improvements and ensure agent features match real-world needs.

  • DevRel & Content: Produce clear technical documentation, guides, and demos, driving open-source adoption and helping new users onboard quickly.

  • Open-Source Contributions: Engage with the community by pushing code, merging pull requests, and resolving issues, championing decentralized AI best practices.

Technical Requirements

Agent & Platform Skills

  • Python (FastAPI, Async): Proficiency in building agent logic, REST APIs, and backend services.

  • Pytorch

  • TypeScript/React/Next.js: Comfortable creating dashboards or other visualizations for agent monitoring.

  • Real-time & WebSocket Systems: Experience building streaming or live-updating UIs to visualize agent activity.

  • API Design: Ability to craft intuitive and efficient interfaces for agent communication.

Infrastructure Skills

  • Rust: Systems programming for high-performance agent components.

  • Kubernetes, Docker: Container orchestration and production-ready deployments.

  • Infrastructure automation and config management.

  • Cloud Experience: Familiarity with scalable and cost-effective infrastructure.

Nice to Have

  • GPU/ML Infrastructure: Understanding how to optimize agent training or inference on GPUs.

  • Advanced AI/ML Knowledge: Familiarity with popular model architectures and training workflows.

  • High-Performance Networking: Experience building low-latency data pipelines.

  • Open-Source Contributions: Proven track record in community-driven projects.

What We Offer

  • Competitive Compensation + equity/token incentives

  • Flexible Work (remote or San Francisco)

  • Visa Sponsorship & relocation support

  • Professional Development budget

  • Team Off-sites & conference attendance

  • Opportunity to Shape Decentralized AI at Prime Intellect


Growth Opportunity

You’ll work with an expert, mission-driven team tackling the complexities of open, decentralized AI. If you’re passionate about agent-driven solutions and thrive in fast, iterative development, we’d love to hear from you.

Ready to build the AI agent system of tomorrow?
Apply now to help us make powerful, open AGI accessible to everyone.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Agent Builder and Dev, Prime Intellect

Are you ready to be part of a groundbreaking team at Prime Intellect as an Agent Builder and Dev? Based in San Francisco, we're on a quest to redefine the future of open-source and decentralized AI. We’re committed to revolutionizing AI accessibility by allowing anyone to contribute computational power, code, or financial resources to our mission. In this dynamic role, you’ll engage in the rapid development of AI agents and frameworks while playing a vital role in reinforcing the infrastructure that enhances our capabilities. As an Agent Builder and Dev, you’ll delve into the exciting world of workload management, automation, and real-time decision-making, all while pushing the limits of agent technology. Collaboration is at the heart of our work, so expect to partner with cross-functional teams to gain insights and align product goals. You’ll also have a hand in creating technical content that drives community engagement and adoption, ensuring that our cutting-edge tools are accessible to all. Armed with advanced technical skills in Python, PyTorch, TypeScript, and cloud infrastructure, you’ll be instrumental in architecting scalable systems for decentralized AI agent execution. If you're passionate about advanced AI technologies, have a knack for rapid prototyping, and are excited about contributing to the community, Prime Intellect is the perfect place for you. Join us and let’s reshape the AI landscape together! Ready to embark on this thrilling journey? We can’t wait for you to apply!

Frequently Asked Questions (FAQs) for Agent Builder and Dev Role at Prime Intellect
What are the primary responsibilities of an Agent Builder and Dev at Prime Intellect?

As an Agent Builder and Dev at Prime Intellect, your main responsibilities include rapid AI agent development, contributing to the agent infrastructure, and community engagement through DevRel and content creation. You'll prototype AI agents for workload management and oversee scalable deployments, ensuring high performance and effective collaboration across the architecture.

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What technical skills are required for the Agent Builder and Dev position at Prime Intellect?

Candidates for the Agent Builder and Dev role at Prime Intellect should possess proficiency in Python (especially FastAPI), PyTorch, and TypeScript/React/Next.js. Familiarity with container orchestration tools like Kubernetes and Docker, as well as experience in configuring cloud infrastructure, is also highly valued.

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How does the Agent Builder and Dev position impact the development of decentralized AI at Prime Intellect?

The Agent Builder and Dev plays a crucial role in advancing decentralized AI at Prime Intellect by developing next-generation AI agents that optimize workflows and enhance automation. By building robust infrastructure and fostering community collaboration, you'll directly contribute to making open, accessible AI a reality.

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What can I expect in terms of professional development as an Agent Builder and Dev at Prime Intellect?

At Prime Intellect, professional development is a key focus. As an Agent Builder and Dev, you'll have access to a dedicated budget for growth opportunities, attend conferences, and participate in team off-sites. This commitment ensures you stay at the forefront of technological advancements in AI.

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What unique opportunities does Prime Intellect offer to its Agent Builders and Devs?

Prime Intellect offers its Agent Builders and Devs unique opportunities to shape the future of decentralized AI through competitive compensation packages, equity/token incentives, and flexible work arrangements. You'll be part of an expert team tackling real-world challenges in open, decentralized AI.

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Common Interview Questions for Agent Builder and Dev
Can you explain your experience with Python in developing AI agents?

In answering this question, detail specific projects where you've used Python for AI agent development. Highlight the frameworks and libraries you've worked with, and discuss any unique challenges you overcame to successfully deploy an agent.

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What strategies do you use for workload management and automation in AI agents?

Provide a structured response by outlining methodologies you've implemented in past projects. Discuss your thought process on agent responsiveness and efficiency, and share examples of how these strategies improved system performance.

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How do you ensure scalability in distributed AI systems?

In your response, emphasize your understanding of architectural principles guiding scalability. Share examples where you designed or contributed to scalable systems, and mention any tools or technologies that facilitated this.

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What is your approach to collaboration across engineering teams?

Highlight the importance of open communication and how you foster teamwork. Share specific instances where your collaboration led to successful project outcomes, emphasizing alignment with product and research teams.

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Can you discuss your experience with Kubernetes or Docker?

Provide an overview of your hands-on experience with these container orchestration tools. Include details about deployments you've managed and how they improved the operational efficiency of AI agents.

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How do you stay updated with the latest advancements in AI?

Share your strategies for continuous learning, such as following influential AI researchers, subscribing to relevant publications, or participating in online courses and community forums.

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What kind of technical documentation have you created in previous roles?

Discuss the types of documentation you've produced—such as user manuals, API guides, or technical blogs. Emphasize how your clear communication supported developer onboarding and community engagement.

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Describe a challenging technical problem you faced while developing an AI solution.

Use the STAR method to describe the Situation, Task, Action, and Result. Highlight the technical skills you used to resolve the issue and the impact of your solution on the project.

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How do you handle feedback from the community regarding your open-source contributions?

Illustrate your approach to community interaction, including how you solicit feedback, respond constructively, and implement suggestions to improve your projects.

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What excites you most about decentralized AI and how does it influence your work?

Express your passion for decentralized AI and how it informs your technical decisions and community involvement. Convey a genuine enthusiasm for collaboration and innovation in this rapidly evolving field.

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DATE POSTED
January 11, 2025

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