What you need to be considered:** + Hands-on experience to Google ADK or CoPilot Studio in building AI Agents (or any tool such as CrewAI, Autogen for building agents) + Hands-on working knowledge in defining and configuring prompts, instructions, tools, reasoning, guardrails and other similar concepts in AI Agent development + Strong experience with RAG pipelines, Vector DBs, tokenization, and prompt engineering + Hands-on experience in creating and maintaining Python libraries, utilize LangChain, Hugging Face, OpenAI API, or local models + Very strong experience with developing RESTful APIs in Python using frameworks like FastAPI and integrate third-party services, UI components and APIs + Hands-on working with Docker-based deployments, and leveraging GitHub for code repo and version control is MUST + Own end-to-end architecture: LLM selection, context engineering, microservices, integrations, and UI. + Build prototypes, storyboards, demos, accelerators and reusable agentic blueprints + Engineer & validate AI agents for reliability, reasoning, safety, and performance + Lead PoCs, pilots, and phase-0 MVPs across industries + Create compelling, client-ready content: SoWs, proposals, architecture decks, value frameworks, and demo storylines.