AI Agent Engineer
Engineers in this role design and deploy autonomous AI agents that solve real-world business problems across diverse industries, from finance and healthcare to infrastructure and marketing operations. They move fast across the full development lifecycle—from prototyping with frontier LLMs to shipping production systems that handle complex customer interactions, workflow automation, and operational decision-making at scale. What sets this work apart is the emphasis on reliability and observability: these engineers don't just build agents, they ensure they perform consistently in ambiguous, high-stakes environments while integrating with enterprise systems and human operators. Typically embedded in dedicated agent or agentic AI teams within product-focused AI companies, these roles sit at the intersection of platform engineering and direct impact, partnering closely with product managers, domain experts, and cross-functional stakeholders to turn loosely defined opportunities into robust, measurable business outcomes.
Skills
What companies are looking for in this role.
Designing and building agent architecture and runtime systems
Implementing tool use and function calling frameworks for agents
Developing evaluation frameworks and metrics for agent performance
Managing context windows and optimizing token usage
Building production-grade monitoring, logging, and observability for AI systems
Orchestrating multi-agent systems and subagent coordination
Architecting systems for high-volume, low-latency agent task execution
Designing guardrails, safety constraints, and audit trails for agents
Building specialized agents for domain-specific tasks
Building data pipelines and evaluation strategies for model deployment
Building knowledge bases and structured data systems for agent reasoning
Developing cost optimization strategies for model inference
Conducting A/B testing and experimentation for agent improvements
Creating sandboxed execution environments and code execution systems
Integrating and routing across multiple large language models
Implementing retrieval-augmented generation and knowledge retrieval systems
Developing prompt engineering and optimization techniques
Building memory systems including long-term and working memory
Implementing autonomous behaviors and goal-directed task execution
Implementing chain-of-thought reasoning and planning algorithms
Collaborating with product teams to translate AI capabilities into features
Understanding domain-specific requirements and translating to agent workflows
Identifying high-leverage automation opportunities and scoping projects
Designing user-facing AI experiences and agent interactions
Collaborating with ML researchers to implement new model capabilities
Technology
The tools and technologies that define this role.
Open Jobs
88 open AI Agent Engineer jobs across 30 companies.
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