Agentic AI Engineer (Python)

You should have 6-8 years of experience in the Creator Economy, AI Video Tools domain. You will be responsible for developing, testing, and deploying LLM-driven agents to automate content strategy, scriptwriting, and moderation. Additionally, you will implement Agentic workflows using frameworks like LangChain, LangGraph, or CrewAI. Your role will involve designing real-time script analyzers to flag and intercept deepfake/misuse risks, integrating voice cloning, avatar generation APIs, and safety intercept logic, and building structured conversation memory, action plans, and tool calling agents for video planning. Collaboration with the backend team to expose agent actions via API will also be part of your duties. To excel in this role, you should possess strong Python skills with experience in AI orchestration frameworks and be hands-on with OpenAI, Anthropic, LLama, or Mistral APIs. Experience with vector DBs such as FAISS or Weaviate for content memory is required. A deep understanding of prompt engineering, function calling, RAG, or agent autonomy is essential. You should also have awareness of deepfake, safety, or fairness risks in generative AI. It would be advantageous to have experience with HuggingFace, LangGraph, or Guardrails AI.,