Autonomous AI Agent Developer

Cloud Analytics Technologies, LLC; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks an experienced software/AI engineer to develop autonomous AI systems that reason, plan, and execute multi-step tasks with minimal human input.

You will build AI agents, integrate LLMs, and design agent workflows that connect to enterprise APIs and external data sources, driving production applications forward with strong emphasis on safety and scalability.

Qualifications

• 5–8 years in software engineering, AI, or ML.
• 2+ years building LLM-based applications.
• Proficient in Python and API integration.
• Hands-on with AI agents and multi-agent systems.
• Experience with RAG pipelines and vector search.
• Experience deploying cloud AI services to production.
• Knowledge of AI safety and responsible AI practices.
• Experience taking AI prototypes to production.

Responsibilities

• Design autonomous AI systems capable of reasoning, planning, and multi-step execution.
• Build intelligent AI agents and integrate LLMs into workflows.
• Develop agent-based workflows interfacing with enterprise apps and APIs.
• Create production-grade AI agents with monitoring and security controls.
• Collaborate with data scientists, software engineers, and architects.

Skills

Python programming

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

LLM integration

RAG

Prompt engineering

API integration

REST APIs

Vector databases

Cloud AI services

Education

Bachelor's degree in Computer Science/AI/Engineering

Master's degree in ML/DS

Certifications in AWS/Azure/Google GenAI

Tools

LangChain

LangGraph

Docker

Kubernetes

Pinecone

Weaviate

Chroma

AWS Bedrock

Azure AI Foundry

Google Vertex AI

Job description

Cloud Analytics Technologies, LLC seeks an experienced software/AI engineer to develop autonomous AI systems that reason, plan, and execute multi-step tasks with minimal human input.

You will build AI agents, integrate LLMs, and design agent workflows that connect to enterprise APIs and external data sources, driving production applications forward with strong emphasis on safety and scalability.