Remote Agentic AI Engineer: Build Scalable Autonomous Agents

CodeRoad; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote work

Holidays off matching local calendar

Paid Time Off (PTO)

Health insurance assistance

Competitive USD compensation

Growth opportunities

Job summary

CodeRoad is seeking an Intermediate Agentic AI Engineer to design and scale a production-grade multi-agent platform. You will work primarily with Python and LangGraph to build a hierarchical agentic layer and implement dynamic context loading to optimize latency and token economics.

You will integrate tool-calling interfaces via MCP, strengthen security with OWASP Top 10, and improve observability with LangFuse while collaborating on automated evaluation harnesses and regression tests against

Qualifications

• 5+ years of professional software development with Python.
• 2+ years building production AI agents or complex LLM workflows with LangGraph or LangChain.
• Experience with modern foundation models (Anthropic Claude, OpenAI, Google Gemini) and prompt engineering.
• Hands-on with LLM observability platforms (LangFuse) and automated evaluation.
• Familiarity with containerized cloud environments (Azure, Docker).
• Experience with Microsoft 365 Agents SDK.
• Advanced English (written and spoken) mandatory.
• Strong ownership, problem-solving, and collaborative mindset.

Responsibilities

• Architect and deploy a hierarchical multi-agent workflow using LangGraph, transitioning legacy single-prompt implementations into modular agentic systems.
• Build domain-specific sub-agents featuring dynamic, on-demand context loading to optimize latency and token economics.
• Design and integrate scalable tool-calling capabilities and standardized connectors using the Model Context Protocol (MCP).
• Optimize LLM observability, reasoning traces, and cost-tracking systems with LangFuse.
• Lead automated evaluation harnesses and regression testing suites using PromptFlow or PromptFoo against benchmark datasets.
• Collaborate on implementing strict security guardrails and access controls following OWASP Top 10 standards for LLM applications.

Skills

Python

LangGraph

LangChain

Advanced English

Tools

LangFuse

Azure

Docker

Microsoft 365 Agents SDK

Job description

CodeRoad is seeking an Intermediate Agentic AI Engineer to design and scale a production-grade multi-agent platform. You will work primarily with Python and LangGraph to build a hierarchical agentic layer and implement dynamic context loading to optimize latency and token economics.

You will integrate tool-calling interfaces via MCP, strengthen security with OWASP Top 10, and improve observability with LangFuse while collaborating on automated evaluation harnesses and regression tests against