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Sub Agent Jobs (NOW HIRING)

Bigcommerce

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

Bigcommerce

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

Feedonomics

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

Pennymac

Product Owner (Conversational AI)

Carrollton, TX · On-site

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Agent & Sub-Agent Architecture Design: Architect the multi-agent orchestration layer, defining how primary routing agents interpret user intent and seamlessly hand off tasks to specialized, domain ...

Hispanic Alliance for Career Enhancement

WI · On-site

$144 - $288/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Set architectural direction on modern topics - multi-agent orchestration (supervisor/sub-agent, agent-to-agent), tool/data integration via protocols like MCP, RAG pipelines, and LLM infrastructure ...

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Sub Agent information

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How much do sub agent jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for sub agent in the United States is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $39.66 per hour, depending on experience, location, and employer.

What is a sub agent?

Sub Agents are professionals who assist main agents or site agents in managing construction projects, particularly in civil engineering and infrastructure developments. They are responsible for overseeing specific sections of work, ensuring safety standards are met, coordinating with subcontractors, and ensuring that project milestones are achieved on time. Sub Agents report to the Site Agent or Project Manager and play a crucial role in quality control, resource allocation, and daily site management. Their work helps ensure projects run smoothly and efficiently from start to finish.

What are some typical challenges a sub agent faces when managing construction projects on-site?

Sub Agents often encounter challenges such as coordinating multiple subcontractors, ensuring compliance with strict safety and quality standards, and adapting to changing project timelines. They must stay proactive in resolving on-site issues, communicating effectively with site managers, engineers, and clients to keep the project on track. Managing documentation and reporting requirements, while balancing the needs of various stakeholders, is also a key aspect of the role.

What are the key skills and qualifications needed to thrive as a sub agent, and why are they important?

To thrive as a Sub Agent, a solid background in civil engineering or construction management, along with relevant industry qualifications, is essential. Familiarity with project management software, health and safety regulations, and quality control systems is typically required. Strong leadership, communication, and problem-solving skills help a Sub Agent effectively coordinate teams and manage project challenges. These competencies are vital for ensuring projects are completed safely, on time, and within budget.

What is the difference between Sub Agent vs Construction Supervisor?

AspectSub AgentConstruction Supervisor
CredentialsOften requires relevant industry experience, certifications varyTypically holds safety and management certifications, relevant degrees
Work EnvironmentOn-site, assisting project management, coordinating subcontractorsOn-site, overseeing daily construction activities and workforce
Employer & Industry UsageUsed by construction firms, project management teamsCommonly employed by construction companies, contractors
Search & Comparison IntentOften compared for site coordination rolesCompared for leadership in construction sites

The Sub Agent typically assists project managers and coordinates subcontractors on-site, focusing on specific project segments. Construction Supervisors oversee daily construction activities, manage workers, and ensure safety compliance. While both roles work closely on construction sites, the Sub Agent is more involved in coordination, whereas the Construction Supervisor handles overall site supervision and operations.

Do sub agents get commission?

Sub agents often earn commissions based on sales or contracts they secure, which can vary depending on the industry and company policies. Commission structures are typically outlined in employment agreements and may include bonuses or incentives for performance. It is common for sub agents to have a commission-based compensation component alongside base pay if applicable.

How much do sub agents make?

Sub agents typically earn between $30,000 and $60,000 annually, depending on the industry, experience, and location. They often receive commissions or bonuses based on performance and sales, and strong communication skills are essential for success in this role.
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What states have the most Sub Agent jobs?

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What job categories do people searching Sub Agent jobs look for?

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Sub Agent jobs near you
Infographic showing various Sub Agent job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $62,702 per year, or $30.1 per hour.

Need Senior AI Engineer Financial Data & Agentic AI at SFO, CA (Locals Only).

SnapCode Inc

San Francisco, CA • On-site

$124K - $169K/yr

Other

Posted 18 days ago

Job description

Hi,
Hope you are doing well,
Senior AI Engineer Financial Data & Agentic AI
Location: SFO, CA or Chicago, IL (3days Hybrid) (Tue-Wed-Thursday)
About the Role
We are seeking a highly experienced Senior AI Engineer with strong expertise in financial data, enterprise data platforms, and Generative AI/Agentic AI to support our H2 roadmap.
The ideal candidate will combine a strong foundation in SQL, enterprise financial data, and EPM systems with hands-on experience designing and building production-grade AI agents and multi-agent systems.
This role is ideal for someone who understands both the complexity of financial data and the engineering challenges involved in building reliable, scalable, secure, and auditable AI systems for enterprise financial workflows.

Key Responsibilities
Financial Data & EPM Foundations
  • Query, structure, transform, and integrate enterprise financial data across SQL databases and EPM systems.
  • Design reliable data pipelines and data access patterns for financial applications and AI-powered workflows.
  • Work with complex financial data including budgeting, forecasting, planning, reporting, revenue, expenses, and other enterprise financial datasets.
  • Ensure financial data is accurate, consistent, secure, and accessible to AI applications and agents.
  • Collaborate with finance and data teams to understand complex financial logic and translate business requirements into technical solutions.
Financial AI Agents at Scale
  • Design, develop, and scale production-grade AI agents for high-volume financial workflows.
  • Build AI systems capable of retrieving, analyzing, reasoning over, and acting on enterprise financial data.
  • Develop solutions optimized for accuracy, performance, latency, scalability, compliance, and auditability.
  • Integrate AI agents with databases, enterprise applications, APIs, data platforms, and other business tools.
  • Implement appropriate monitoring, evaluation, logging, and observability for AI agent performance and reliability.
Multi-Agent Orchestration & Sub-Agent Routing
  • Design and implement multi-agent architectures using supervisor-worker and hierarchical agent patterns.
  • Build systems that decompose complex financial problems into smaller tasks handled by specialized sub-agents.
  • Implement intelligent routing of tasks to the appropriate sub-agent based on the problem, context, and required expertise.
  • Design context-isolated workflows to ensure agents receive only the information required to complete their assigned tasks.
  • Coordinate multiple agents and tools to support complex financial analysis and decision-making workflows.
Agent Lifecycle Management & Controls
  • Build tool-augmented AI agents capable of interacting with databases, APIs, enterprise applications, and other systems.
  • Implement agent lifecycle controls, including event callbacks, pre-processing and post-processing hooks, and state management.
  • Design mechanisms for agent state persistence, memory, workflow recovery, and execution tracking.
  • Implement deterministic guardrails to control agent behavior and prevent unauthorized or incorrect actions.
  • Build human-in-the-loop workflows for high-risk, sensitive, or approval-based financial activities.
  • Ensure agent actions and outputs are traceable, explainable, and auditable.
Required Qualifications
  • 7+ years of experience in software engineering, data engineering, AI/ML engineering, or a related field.
  • Strong hands-on experience with Python and SQL.
  • Proven experience working with enterprise financial data, financial systems, or EPM platforms.
  • Hands-on experience building Generative AI, LLM, or Agentic AI applications.
  • Experience designing and deploying production-grade AI agents or AI-powered data applications.
  • Strong understanding of multi-agent systems, agent orchestration, task decomposition, and sub-agent routing.
  • Experience integrating AI agents with databases, APIs, tools, and enterprise systems.
  • Experience implementing AI application controls such as guardrails, validation, observability, logging, and audit trails.
  • Experience with state management, agent memory, workflow persistence, or lifecycle management.
  • Experience designing human-in-the-loop workflows and approval mechanisms.
  • Strong understanding of enterprise security, data privacy, compliance, reliability, and auditability requirements.
Preferred Qualifications
  • Experience with AI agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or similar technologies.
  • Experience with EPM platforms, financial planning systems, or enterprise finance applications.
  • Experience with RAG, vector databases, embeddings, and enterprise knowledge retrieval.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with AI/LLM evaluation, observability, prompt engineering, and model governance.
  • Experience working with financial planning, budgeting, forecasting, accounting, or FP&A data.
  • Experience building enterprise-grade AI platforms or data agents at scale.
Ideal Candidate Profile
The ideal candidate is not simply a traditional Data Engineer or a traditional AI Engineer. We are looking for someone who has demonstrated experience in both areas:
Financial Data Expertise
  • SQL
  • Enterprise data platforms
  • Financial data
  • EPM systems
  • Data integration
  • Financial workflows
AI & Agentic Systems Expertise
  • LLMs and Generative AI
  • AI agent

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