At a Glance
- Tasks: Build autonomous AI agents to execute business strategies and create finished assets.
- Company: Join a forward-thinking team focused on innovative AI solutions.
- Benefits: Flexible hours, competitive pay, and the chance to work on groundbreaking projects.
- Why this job: Be at the forefront of AI development and make a real impact in business.
- Qualifications: Experience with AI agents, frameworks, and automation tools is essential.
- Other info: Contract role with potential for growth and exciting challenges.
The predicted salary is between 36000 - 60000 Β£ per year.
I need an AI Workforce. I have a comprehensive business course (videos, documents, frameworks) that teaches specific high-level strategies (e.g., Offer Creation, Digital Product Launch, Online Business Models). Instead of me manually applying these lessons, I want to build a system of Autonomous Agents that take my raw ideas and execute the course's methodology to produce finished business assets.
Tech Stack Preferences
- Agent Frameworks: LangGraph, CrewAI, AutoGen, or OpenClaw.
- LLMs: Claude 3.5/4 (via Claude Code/API), GPT-4o, or DeepSeek.
- RAG & Vector DBs: Pinecone, Weaviate, or LlamaIndex for complex document/video data retrieval.
- Automation: n8n, or Python-based custom deployments.
The Deliverable
A "Command Center" where I can input a single product idea or business goal, and the agents work together, using only the frameworks from my course, to hand me a completed business offer or product plan.
Contract duration of 3 to 6 months, with 30 hours per week.
Mandatory skills: AI agent, openclaw, clawdbot, AI Agent Development, AI Bot, AI Development.
AI Agent Architect: Build Agents to Execute Business Frameworks employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Agent Architect: Build Agents to Execute Business Frameworks
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space, especially those who are into agent frameworks. Join relevant online communities or forums where you can share your ideas and learn from others.
β¨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with the tech stack mentioned in the job description. Include projects that demonstrate your proficiency in building autonomous agents and using LLMs.
β¨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the specific frameworks and tools listed. Be ready to discuss how you've used them in past projects and how they can be applied to the role you're after.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Agent Architect: Build Agents to Execute Business Frameworks
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your experience with the tech stack mentioned in the job description. We want to see your proficiency in agent frameworks and LLMs, so donβt hold back on showcasing your past projects!
Tailor Your Application: Customise your application to reflect how your skills align with our needs. Use the same language as the job description to demonstrate that you understand what weβre looking for. Itβll make a big difference!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless itβs relevant. Make it easy for us to see why youβre the perfect fit for the role!
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and ensures youβre considered for the role. We canβt wait to hear from you!
How to prepare for a job interview at FreelanceJobs
β¨Know Your Tech Stack
Make sure youβre well-versed in the specific technologies mentioned in the job description. Brush up on your experience with agent frameworks like LangGraph and OpenClaw, as well as LLMs such as Claude 3.5/4. Being able to discuss these tools confidently will show that youβre the right fit for the role.
β¨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex projects in the past, especially those involving automation and AI agents. Think of examples where youβve successfully built systems or workflows that align with the business strategies outlined in the course. This will demonstrate your ability to execute the methodologies effectively.
β¨Understand the Business Frameworks
Familiarise yourself with the high-level strategies mentioned in the job description, like Offer Creation and Digital Product Launch. Be ready to explain how you would apply these frameworks using autonomous agents. This shows that you not only understand the tech but also the business side of things.
β¨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the companyβs vision for the AI Workforce. This could be about the expected outcomes of the Command Center or how success will be measured. Engaging in this way shows your genuine interest and helps you assess if the role is right for you too.