Senior AI Agentic Developer Needed
Budget: $10 – $3,000 USD
I’m building a next-generation platform centred on Agentic Models—everything from single autonomous agents to full swarms and complex orchestrations that coordinate dozens of specialised LLMs at once. The immediate goal is to turn our R&D prototypes into production-ready systems, then keep scaling them until they can handle real-world, mission-critical workloads.
Here’s what the role looks like day to day:
• Architect and code large-scale agentic functions, swarms and orchestration layers that can reason, plan and act with minimal human guidance.
• Integrate and benchmark state-of-the-art language models (OpenAI, Anthropic, Llama 2/3, etc.) alongside tools like LangChain, CrewAI, Semantic Kernel or your own preferred framework.
• Optimise memory, context and tool-calling pipelines; deploy to cloud (AWS/GCP/Azure) with containerisation and CI/CD.
• Rapidly iterate—our team works long, focused hours on bleeding-edge ideas, so you’ll ship, measure, and refine in tight loops.
• Transition from contractor to full-time employee once we see the right technical depth and cultural fit.
Agentic Models are the single most critical area for us, though experience with swarms and broader orchestration patterns will stand out. If you have shipped autonomous agents in production, built reasoning chains that call external tools or APIs, or published open-source work in this space, I’d love to see it. GitHub links, technical blogs, or concise walkthroughs of past systems are ideal.
First milestone: deliver a proof-of-concept swarm that can break down a complex request, assign specialised agents, share memory through a vector store, and return an executable plan—complete with evaluation metrics so we can track robustness and hallucination rates.
If pushing the frontier of agentic AI excites you and you’re ready to dive deep, let’s talk.
Here’s what the role looks like day to day:
• Architect and code large-scale agentic functions, swarms and orchestration layers that can reason, plan and act with minimal human guidance.
• Integrate and benchmark state-of-the-art language models (OpenAI, Anthropic, Llama 2/3, etc.) alongside tools like LangChain, CrewAI, Semantic Kernel or your own preferred framework.
• Optimise memory, context and tool-calling pipelines; deploy to cloud (AWS/GCP/Azure) with containerisation and CI/CD.
• Rapidly iterate—our team works long, focused hours on bleeding-edge ideas, so you’ll ship, measure, and refine in tight loops.
• Transition from contractor to full-time employee once we see the right technical depth and cultural fit.
Agentic Models are the single most critical area for us, though experience with swarms and broader orchestration patterns will stand out. If you have shipped autonomous agents in production, built reasoning chains that call external tools or APIs, or published open-source work in this space, I’d love to see it. GitHub links, technical blogs, or concise walkthroughs of past systems are ideal.
First milestone: deliver a proof-of-concept swarm that can break down a complex request, assign specialised agents, share memory through a vector store, and return an executable plan—complete with evaluation metrics so we can track robustness and hallucination rates.
If pushing the frontier of agentic AI excites you and you’re ready to dive deep, let’s talk.