Senior Agentic AI Engineer - Remote, High-Impact

CodeRoad Inc

United States

Remote

USD 124,000 - 234,000

Full time

13 hours ago
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Benefits offered by this job

Competitive USD pay
Paid time off
Health insurance assistance program
Remote work (USA)
Opportunity to work with US-based cll
Holidays Off & PTO

Job summary

CodeRoad Inc. is seeking an experienced software architect to design, deploy, and lead production AI/ML systems and multi‑agent workflows for remote US clients. You will drive architectural patterns, mentor engineers, and partner with MLOps, cloud, and product teams.

You will work directly on agentic AI stacks using LangGraph, CrewAI, ADK, and n8n, with a focus on observability, governance, and scalable frontends with Streamlit/React.

Qualifications

  • 5+ years of professional software development experience, including 2–3 years architecting AI/ML systems and agentic workflows.
  • Expertise in Python and multi-agent frameworks (LangGraph, CrewAI, ADK, n8n).
  • Strong experience with vector databases (Pinecone, Weaviate) and tool-calling paradigms.

Responsibilities

  • Architect and orchestrate scalable autonomous AI systems and multi-agent decision engines.
  • Engineer high-throughput data retrieval pipelines with vector databases to power RAG and semantic search.
  • Establish real-time evaluation pipelines to monitor model health and bias in production.

Skills

Python
LangGraph
CrewAI
ADK
n8n
Pinecone
Weaviate
LangSmith
AgentOps
Langtrace
MLflow
Kubeflow
AWS
GCP
Azure
Streamlit
Chainlit
React
English

Tools

LangGraph
CrewAI
ADK
n8n
Pinecone
Weaviate
LangSmith
AgentOps
Langtrace
MLflow
Kubeflow
AWS
GCP
Azure
Streamlit
Chainlit
React

Job description

CodeRoad Inc. is seeking an experienced software architect to design, deploy, and lead production AI/ML systems and multi‑agent workflows for remote US clients. You will drive architectural patterns, mentor engineers, and partner with MLOps, cloud, and product teams.

You will work directly on agentic AI stacks using LangGraph, CrewAI, ADK, and n8n, with a focus on observability, governance, and scalable frontends with Streamlit/React.

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