AI Agent Engineer

About the role

This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform. This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams.

Hiring Company: Creao AI

One-liner: CREAO is redefining the relationship between people and software by empowering users to create custom, conversational AI applications using natural language.

Responsibilities

• Design, develop, and deploy AI agents using LLMs (e.g., GPT, Claude, open-source models)
• Build multi-step reasoning, planning, and tool-using agent workflows
• Integrate AI agents with internal systems, APIs, databases, and third-party services
• Implement evaluation frameworks to measure agent performance, reliability, and safety
• Optimize prompts, memory systems, retrieval pipelines, and agent architectures
• Collaborate with product, engineering, and design teams to translate real-world problems into AI-driven solutions
• Improve system scalability, latency, and cost efficiency
• Monitor agent behavior in production and continuously iterate based on feedback and data
• Ensure responsible AI practices, including privacy, safety, and bias mitigation

Qualifications

• Required: Strong software engineering skills in Python, TypeScript, or similar
• Required: Experience working with LLMs, AI frameworks, or ML systems
• Required: Understanding of agent architectures, such as: Tool use / function calling, Planning & reasoning, Memory & retrieval (RAG)
• Required: Experience integrating APIs, databases, and distributed systems
• Required: Ability to ship production-ready systems with reliability and observability in mind
• Preferred: Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar
• Preferred: Experience with vector databases (Pinecone, FAISS, Milvus, etc.)
• Preferred: Knowledge of evaluation methods for generative AI systems
• Preferred: Experience deploying AI systems on cloud platforms (AWS, GCP, Azure)
• Preferred: Background in ML, NLP, or autonomous systems