AI Agent Engineer

Jobzhr; Cupertino, Northern (CA, KY); On-site; USD 180,000 - 240,000; Full time

Job summary

Creao AI is actively building AI agents that reason across steps, call tools, and integrate with internal APIs, databases, and services. You will design, develop, and deploy multi-step AI workflows, prioritizing reliability and scalability in production environments.

Ideal candidates have strong Python/TypeScript software skills and experience with LLMs, AI frameworks, and agent architectures. Collaboration with product, engineering, and design teams is essential to translate real-world problems

Qualifications

• Strong software engineering skills in Python, TypeScript, or similar.
• Experience working with LLMs, AI frameworks, or ML systems.
• Understanding of agent architectures: Tool use, planning & reasoning, memory & retrieval (RAG).
• Experience integrating APIs, databases, and distributed systems.
• Ability to ship production-ready systems with reliability and observability in mind.

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

Skills

Python

TypeScript

LLMs & AI frameworks

Tool use

Function calling

Planning & reasoning

Memory & retrieval

APIs integration

Databases integration

Distributed systems

Reliability & observability

LangChain

LlamaIndex

AutoGen

CrewAI

Pinecone

FAISS

Milvus

Evaluation methods

Cloud platforms

ML, NLP background

Job description

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.

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