Start getting paid for your
AI-agents skills
Join AgentsYard, a curated network for AI-agent specialists
Production-First Focus
Move beyond "pilot purgatory". We partner with companies shipping real agents with measurable ROI in support, IT, and sales.
Segment-Specific Matching
Whether you are a code-first engineer or a no-code architect, we match you with teams that align with your stack philosophy.
Market Intelligence
Access our internal research on tool fragmentation, pricing models, and emerging frameworks (MCP, CrewAI, etc.) to stay ahead.
Open Roles
Explore our current openings and find the role that matches your expertise and career goals.
Our 5-Axis Evaluation
Every candidate is scored 1-10 across five critical dimensions. No generic scores, just concrete assessments of what matters for agent development.
Soft Skills
Clear communication, collaboration, and stakeholder alignment
Problem Solving
Can break down tasks, reason through ambiguity, and reach working solutions
Engineering Excellence
Clean, maintainable, and production-ready code
AI-Tools Proficiency
Expertise with LLMs, context engineering techniques, vector DBs, and agent frameworks
Velocity & Execution
Ships value quickly while maintaining quality and reliability
How the matching flow works
Built from the best of Toptal and Turing playbooks, optimized for modern agent stacks and async collaboration.
Share your build story
Submit context on shipped agents, stack preferences (Code vs No-Code), and domain strengths.
Deep technical review
Pair with our vetting crew for live architecture reviews and scenario work specific to your track.
Signal amplification
We produce portfolio briefs, quantify your impact, and surface you to aligned missions.
Engage and ship
Stay close to the product through structured sprints, async hubs, and dedicated success pods.
Builder stories
Real operators shaping frontier product lines with AgentsYard partners.
"AgentsYard matched me with a team building complex multi-agent swarms using LangGraph. Finally, a place that understands the nuance of agent orchestration."
Sarah W.
AI Solutions Architect
"I specialize in high-compliance environments. AgentsYard connected me with a fintech scaler needing exactly my mix of Copilot Studio and security governance."
Kayrat A.
Senior AI Agents Developer
"Most platforms ignore no-code builders. AgentsYard recognized the value of my Relay.app and n8n expertise for rapid internal automation."
Lisa C.
AI Product Manager
Grow with the best in the field
Join an exclusive community of vetted builders
Operator Communities
Vertical-specific pods to swap deep context
Live Workshops
Sessions with foundation model teams
Shared Intelligence
Library of proven prompts & workflows
Questions, answered
What is the typical compensation and salary range for AI Agent Developer roles?+
Compensation for AI Agent Developers typically commands a 30-50% premium compared to traditional software engineering roles. Annual salaries depend heavily on experience and region
What technologies and frameworks are required, and are open-source tools supported?+
Our technology stack focuses on Python, which is the primary programming language in over 90% of AI agent developer roles. We prioritize the use of open-source frameworks, which developers highly value (81% report high value) for flexibility and avoiding vendor lock-in. Core AI frameworks include LangChain/LangGraph, which is the de facto standard with a 90% mention rate, as well as rising tools like CrewAI and AutoGen. Expertise in Retrieval-Augmented Generation (RAG) system architecture is also highly valued.
What types of projects will I be working on?+
We prioritize building production-hardened solutions with clear business metrics and success criteria upfront, rather than projects driven purely by hype. Developers strongly prefer working on high-ROI, impact-driven agents, such as production customer service agents, coding/developer assistant agents, and RAG-powered document processing. We aim to avoid the developer frustration where projects are overhyped in marketing or where AI agent projects face cancellation
How does the company prioritize code quality, ethical practices, and deadlines?+
We maintain a culture of verification and testing, prioritizing realistic timelines that allow for quality work and robust code review processes. Developers are often frustrated by unrealistic deadlines and leadership disregarding code quality in favor of speed. We ensure our AI approach includes transparent, ethical AI practices, explainability, and auditability in AI systems, addressing developer concerns about licensing, sustainability, and proprietary model dependency.
What opportunities are available for learning and professional growth?+
We invest in mentorship and skill development opportunities to ensure you are working on cutting-edge, proven AI technology. Since developers face challenges with limited time/resources for learning and anxiety about traditional dev skills feeling obsolete, we prioritize an environment where you can learn from experienced AI teams and maintain a balance between utilizing AI tools and understanding foundational concepts.
Step into the AgentsYard network
Share your portfolio, shipped workflows, and the problems you want to own next. We hand-match each profile to teams ready to move.