Subject Matter Expert (SME) in Building AI Agents for Complex Tasks

We are looking for US based SMEs having experience in content review to review & vet the courses for one of our US based clients. SME Scope of Work : 1. Domain Expertise in AI Agent Architectures: Deep understanding of agent design patterns (e.g., ReAct, Auto-GPT, BabyAGI, OpenAI Assistants API) Knowledge of LLMs and their integration into autonomous systems Experience with memory handling (e.g., vector databases like Pinecone, Weaviate) Familiarity with decision-making models (e.g., rule-based vs reinforcement learning) 1. Technical Proficiency: Programming: Advanced Python, especially for AI/ML, backend integration, and APIs Frameworks & Libraries: LangChain, LlamaIndex, Hugging Face, OpenAI, FastAPI ML & AI Tools: PyTorch or TensorFlow, transformers, RLlib (if working with reinforcement learning agents) DevOps: Docker, CI/CD pipelines, version control (Git), deployment to cloud platforms like AWS or Azure 1. Hands-On Experience: Built and deployed LLM-based or multi-agent systems in real-world settings Integrated agents with tools, APIs, and databases to execute end-to-end tasks Used agents for complex workflows: research, automation, planning, customer service, etc. Bonus: Experience in handling hallucination reduction, grounding via RAG, or long-context memory systems. 1. Analytical and Strategic Thinking: Able to translate business needs into agent architectures and task workflows Proficient in evaluating trade-offs (e.g., autonomy vs. control, compute cost vs. accuracy) Understands scalability, robustness, and ethics in autonomous systems 1. Communication and Thought Leadership: Clear communication of complex technical ideas to cross-functional teams Contributes to design documentation, architecture reviews, or technical blogs Engages in communities or forums around AI agent development Typical Background for SME in This Role: Education: MS or PhD in Computer Science, Artificial Intelligence, Robotics, or similar Experience: 5–10+ years in AI/ML, with 2–3 years focused on agent-based systems or LLM-integrated applications Contributions: Research publications, GitHub projects, open-source contributions, conference presentations Timelines and Payout: Expected weekly availability - 10 hours Expected project start date - Immediate Job Types: Full-time, Contract Pay: $35.00 per hour Application Question(s): Do you speak English fluently without any accent? Are you a camera friendly? Do you have online or virtual teaching experience? Work Location: Remote