AI Agent Engineer
Creao AIAbout 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.
Salary:
Why Join Us:
Role 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
Qualitications
Required
- Strong software engineering skills in Python, TypeScript, or similar
- Experience working with LLMs, AI frameworks, or ML systems
- Understanding of agent architectures, such as: Tool use / function calling, Planning & reasoning, Memory & retrieval (RAG)
- Experience integrating APIs, databases, and distributed systems
- Ability to ship production-ready systems with reliability and observability in mind
Preferred
- Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar
- Experience with vector databases (Pinecone, FAISS, Milvus, etc.)
- Knowledge of evaluation methods for generative AI systems
- Experience deploying AI systems on cloud platforms (AWS, GCP, Azure)
- Background in ML, NLP, or autonomous systems
Responsibilities
- Design, develop, and deploy AI agents using LLMs
- 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
Qualifications
- Strong software engineering skills in Python, TypeScript, or similar
- Experience working with LLMs, AI frameworks, or ML systems
- Understanding of agent architectures, such as Tool use, Planning & reasoning, Memory & retrieval
- Experience integrating APIs, databases, and distributed systems
- Ability to ship production-ready systems with reliability and observability in mind
- 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)
Skills mentioned
About Creao AI
Every hire is two searches - a person looking for the right role, and a company looking for the right person. For two years, Jobright worked only the first one. 2 million professionals now use our AI agent to find roles, sharpen how they show up, and get in front of the people hiring. Earlier this year, we started working the second. Employers can now put Jobright on a role. Our AI recruiter sources from the professionals who already trust us, verifies every candidate is real, and reaches out under a name candidates recognize, which is why they reply. What reaches the hiring team is a list of people worth interviewing, within 24 hours. All they do is interview. Two searches. One platform. Agents on both sides that keep working until both sides say yes.