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 AI agents that handle complex customer interactions and business workflows
Implementing and integrating large language models and generative AI systems into production environments
Writing clean, maintainable, and performant code with strong engineering discipline
Building scalable system architectures that support millions of users and enterprise-grade deployments
Developing and optimizing conversational AI systems and dialogue engines
Debugging and troubleshooting complex distributed systems and deep technology stacks
Designing scalable API abstractions and platform architectures for multi-channel integrations
Optimizing latency and throughput in AI inference and agent decision-making pipelines
Orchestrating agent systems and coordinating multiple AI components to work together seamlessly
Evaluating and benchmarking AI models to assess performance and reliability at scale
Implementing agent memory systems and context management for long-running autonomous systems
Building prompt engineering and LLM fine-tuning pipelines for specialized tasks
Designing safety mechanisms and guardrails for AI agent behavior in production systems
Developing evaluation frameworks and metrics to measure agent effectiveness and operational impact
Building multimodal AI systems that process and generate text, voice, and other data types
Implementing sandboxed execution environments and code execution systems for agents
Collaborating with cross-functional teams including product, ML, security, and UX stakeholders
Scoping technical requirements and driving projects from prototype through production
Identifying high-impact opportunities and prioritizing work in ambiguous problem spaces
Driving technical decisions and setting engineering standards for distributed systems
Partnering with customers and domain experts to understand workflows and translate requirements into solutions
Communicating technical concepts clearly to both technical and non-technical audiences
Providing hands-on training and mentorship to enable teams to adopt frontier AI capabilities
Building reusable templates, documentation, and tooling to enable self-service adoption
Technology
The tools and technologies that define this role.
Open Jobs
101 open AI Agent Engineer jobs across 32 companies.
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