Jobright.ai
AI Agent Engineer
Job description
This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.
This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT 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.
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
Qualifications
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
How can I join Jobright TNT:
If this is your first time applying to a Jobright TNT role, the process works as follows:
1. Apply to your first Jobright TNT role
2. We review your background to determine if you meet the TNT quality bar
3. If qualified, your application is directly recommended to the employer
4. Once accepted into TNT, you may be:
- Invited to apply for other exclusive TNT-only roles
- Invited to private, invite-only hiring events with top startups
You will be notified of your TNT selection result.
PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.
Computer and Information Research Scientist Resume Example
See a professional resume example for this role with key skills, action verbs, and ATS-friendly formatting.
View resume exampleResponsibilities
- 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
- 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
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