About this role
Lead Agentic AI Engineer at CodeRoad in the United States is a full-time position suited for a senior technical professional with extensive background in enterprise software and autonomous systems. This role involves designing and implementing autonomous agent solutions integrated with the Salesforce ecosystem.
Role Overview
CodeRoad seeks a technical authority to design, build, and run enterprise-grade autonomous agent systems connected to the Salesforce platform. The position focuses on implementing stateful multi-agent workflows using frontier large language models, Model Context Protocol, and modern orchestration frameworks to connect complex business logic with software engineering standards.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
CodeRoad delivers end-to-end software development services and technology solutions to help businesses scale their infrastructure. The organization provides nearshore technology services including staff augmentation, dedicated IT teams, and general software engineering.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Lead Agentic AI Engineer position?
The salary range for this role is $190,000 to $250,000 per year.
Is visa sponsorship available for this role?
No, candidates must be legally authorized to work in the United States without sponsorship.
How many years of software engineering experience are required?
Candidates must have 7 or more years of hands-on enterprise software engineering experience.
What level of production LLM experience is needed?
The role requires 3 or more years of direct production experience building, evaluating, and scaling LLM-powered applications and autonomous multi-agent workflows.
What primary AI ecosystem is emphasized in this role?
The position places a strong emphasis on the Anthropic Claude ecosystem, LangGraph, and Model Context Protocol.
