AI Agent Engineer (Backend)

Quick Facts

Role: AI Agent Engineer (Backend)

Focus: Backend development for production AI agents and multi-agent workflows

Duration: 3 months

Note: Only W2 candidates are eligible; third-party or C2C candidates will not be considered.

Description

Build and deploy production-grade AI agents and multi-agent workflows using LLM APIs, coding agents, and agent frameworks. Partner with Product Managers and domain experts to turn complex business workflows into agentic solutions, and take ownership from discovery through deployment and continuous improvement.

Responsibilities

• Collaborate with Product Managers and domain experts to understand workflows, define requirements, and establish success criteria
• Design, build, test, and deploy AI agents, automations, and internal tools using LLM APIs and agent frameworks
• Build multi-agent workflows that automate business processes by coordinating decisions, tasks, and handoffs
• Develop reliable agent orchestration including tool integrations, context management, state management, retries, caching, and failure handling
• Create backend services, APIs, integrations, and data models to support agent-powered applications
• Integrate agents with internal platforms, business systems, and external tools via APIs and other integrations
• Implement evaluation frameworks, guardrails, quality checks, and human-in-the-loop approvals for reliability and accuracy
• Follow production engineering best practices: version control, code reviews, automated testing, CI/CD, monitoring, and staged deployments
• Monitor production performance and continuously optimize agent workflows based on measurable outcomes

Requirements

• 7+ years of professional backend software engineering experience, particularly in production systems
• 2+ years of hands-on experience building AI agents and agent-powered production applications using code
• Strong experience with LLM APIs, agent frameworks, and multi-agent orchestration
• Proven ability to design, develop, and deploy production-grade backend services, REST APIs, integrations, and data models
• Experience with reliable AI agent workflows including tool calling, context/state management, error handling, and evaluation
• Strong understanding of system design, algorithms, data structures, access control, and scalable application architecture
• Ability to take end-to-end ownership from requirements and workflow design through deployment and production support
• Ability to work through ambiguity and communicate proactively to clarify requirements
• Builder mindset with outcome measurement (time saved, errors reduced, process efficiency)

Benefits

Benefits are not specified in the provided posting.