Posted:3 weeks ago| Platform:
Remote
Full Time
Role & responsibilities Preferred candidate profile We're seeking a skilled Python developer with a focus on building advanced agentic applications. In this role, you'll architect and implement autonomous AI systems that can reason, plan, and execute complex tasks with minimal human intervention. Core Responsibilities Design and develop agentic AI applications using Python and modern frameworks Implement and optimize Retrieval-Augmented Generation (RAG) systems for knowledge-intensive applications Create scalable backend services using FastAPI and Django Collaborate with cross-functional teams to define agent architectures and workflows Develop testing frameworks to evaluate agent performance and reliability Document technical approaches, system architectures, and implementation details Technical Requirements Strong proficiency in Python programming and software engineering best practices Experience building web applications with FastAPI and/or Django frameworks Practical experience implementing RAG systems and understanding of vector databases Familiarity with prompt engineering techniques and LLM capabilities/limitations Knowledge of containerization, CI/CD pipelines, and deployment strategies Nice-to-Have Skills Experience with agentic frameworks like LangGraph or CrewAI Background in fine-tuning open-source models (e.g., Llama, Mistral, Falcon) Understanding of multi-agent systems and coordination protocols Experience with tools like LlamaIndex, LangChain, or similar LLM orchestration libraries Familiarity with reinforcement learning from human feedback (RLHF) Contributions to open-source AI projects Technical Environment You'll be working with cutting-edge technologies including: Python 3.x ecosystem FastAPI and Django for backend development Vector databases (e.g., Pinecone, Milvus, or Weaviate) LLM orchestration frameworks Modern cloud infrastructure (AWS/GCP/Azure) What We're Looking For Problem solvers who enjoy tackling complex technical challenges Self-motivated learners who stay current with rapidly evolving AI technologies Engineers who can balance theoretical understanding with practical implementation Strong communicators who can explain technical concepts to various stakeholders Join us to push the boundaries of what's possible with agentic AI systems and help shape the future of autonomous applications.
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