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Part-Time Python Developer for Agentic Workflow with LLMsWe are a small, scrappy team looking for a self-starting Python developer to help us build agentic workflows using public and self-hosted large language models (LLMs). This is a part-time, paid role with the potential to convert to full-time based on the success of our product.In this position, you will be responsible for:Developing high-throughput integrations between our codebase and various LLM APIs and self-hosted modelsDesigning and implementing agent-based workflow systems that leverage the capabilities of these language modelsContinuously researching and experimenting with new LLM techniques and architectures to improve our productsCollaborating closely with the rest of our team to refine requirements and deliver working softwareWe are looking for someone who is:Proficient in Python development, with at least 3 years of relevant experienceComfortable working with code-LLM integrations and handling high data throughputFamiliar with agent-based modeling, workflow automation, or similar conceptsEager to learn and experiment with the latest advancements in large language modelsAn excellent communicator with strong English skillsAble to work independently with minimal guidanceA computer science or engineering degree is a must-have for this role. Experience with production-level LLM systems is a bonus, but not required.If this sounds like the kind of challenge you're excited about, please share your CV and any relevant code examples (e.g., GitHub profile) with us. We look forward to hearing from you!
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