Agentic AI DeveloperThe Agentic AI Developer will design, prototype, and deploy GenAI-powered tools and systems focused on enhancing user interaction and creativity.ResponsibilitiesCraft and optimize prompts for large language models (LLMs) to ensure relevant and high-quality outputs.Develop backend systems to support LLM-based features and integrations.Collaborate with design and product teams to create seamless conversational experiences.Experiment with LLM APIs, agentic workflows, and cutting-edge open-source frameworks like LLama.Drive model training and evaluation pipelines—curating data, testing hypotheses, and refining outputs iteratively.Deploy AI models and systems in production environments with a focus on reliability and scalability.Explore and implement planning systems, vector databases, or memory architectures such as graph-based storage.RequirementsStrong experience in development and deployment of AI agents5+ years of experience in software engineering or AI-related development.Strong programming skills in Python, with exposure to backend systems.Solid understanding of prompt engineering, LLM APIs, or agent-based AI systems.Experience with LLama or similar frameworks and open-source model ecosystems.Track record of independently running AI experiments and improving model performance through training cycles.Familiarity with deploying AI applications to production and managing their lifecycle.Exposure to vector databases, graph-based memory structures, or planning systems.A curious mindset and eagerness to adapt to a rapidly evolving AI landscape.EducationBS or MS in Computer Science, Artificial Intelligence, or a related technical field.Experience integrating AI into creative domains like content generation, design tools, or storytelling platforms.Knowledge of orchestration tools or agent frameworks such as LangChain, Haystack, or AutoGen.