Senior Agentic AI Engineer - GenAI & Multi-Agent Systems

Robotic Technologies Automation; Santa Clara (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotic Technologies Automation in Santa Clara, CA seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade GenAI solutions. You will build autonomous AI systems using AWS Bedrock, AgentCore, and LangGraph, enabling complex task planning, tool usage, and memory management across multi-agent workflows.

The role emphasizes scalable RAG deployments, secure integration with enterprise apps, and front-end interfaces with React.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
• 3+ years of software engineering experience building AI/ML solutions.
• 2+ years of Generative AI, LLMs, and RAG architectures.
• 2+ years designing and implementing Agentic AI or multi-agent systems.

Responsibilities

• Design and develop autonomous multi-agent AI systems using AWS AgentCore.
• Build and optimize agent workflows with LangGraph and LangChain.
• Implement planning, reasoning, tool usage, and memory management in AI agents.
• Design agent-to-agent and agent-to-system interaction patterns.
• Develop enterprise-scale RAG solutions using AWS Bedrock models.
• Design vectorization, indexing, retrieval, and grounding strategies.
• Create prompt engineering frameworks and evaluation methodologies.
• Implement conversational AI, copilots, and AI-powered automation solutions.
• Integrate Bedrock Guardrails for safety, compliance, and responsible AI.

Skills

Agentic AI design

RESTful API design

IaC (Terraform)

React frontend

Education

Bachelor's or Master's in CS/Engineering/AI

Tools

AWS Bedrock

AgentCore

LangGraph

LangChain

Terraform

RAG (Retrieval-Augmented Generation)

Job description

Robotic Technologies Automation in Santa Clara, CA seeks an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade GenAI solutions. You will build autonomous AI systems using AWS Bedrock, AgentCore, and LangGraph, enabling complex task planning, tool usage, and memory management across multi-agent workflows.

The role emphasizes scalable RAG deployments, secure integration with enterprise apps, and front-end interfaces with React.