Agentic AI Engineer: Production LLMs on AWS & Azure

robusta; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

robusta is seeking a MidLevel AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You will turn business problems into reliable multi-step agent workflows using LLMs, tools and enterprise data, owning solutions from architecture to monitoring.

You will design multi-agent workflows, develop LLM applications on AWS and Azure, and build RAG pipelines with data ingestion, embeddings and vector search.

Qualifications

• Bachelor’s degree in CS or related field.
• 3+ years software engineering experience, with 1+ year GenAI production work.
• Strong Python skills and API development experience.
• Hands-on experience building agentic systems with modern frameworks.

Responsibilities

• Design and build agentic AI systems with multi-agent workflows.
• Develop LLM applications on AWS and Azure.
• Build RAG pipelines over enterprise data.
• Integrate agents with internal systems and APIs.
• Implement evaluation, safety and cost controls.

Skills

Python

LLM apps in production

AWS/Azure experience

APIs & services

LangGraph/LangChain

CI/CD

MCP / function calling

Observability

Cloud fundamentals

Education

Bachelor’s degree in Computer Science or related field

Tools

LangGraph

LangChain

Microsoft Agent Framework

Semantic Kernel

AutoGen

CrewAI

Job description

robusta is seeking a MidLevel AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You will turn business problems into reliable multi-step agent workflows using LLMs, tools and enterprise data, owning solutions from architecture to monitoring.

You will design multi-agent workflows, develop LLM applications on AWS and Azure, and build RAG pipelines with data ingestion, embeddings and vector search.