Frontier Agents Engineer (Forward Deployed Engineering)

Overview

As a Frontier Agent Engineer (Forward Deployed Engineering), you work with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems.

What you'll do

• Architect and deploy production AI systems that integrate with enterprise cloud platforms, data warehouses, internal APIs, and proprietary software.
• Design scalable agent architectures combining LLMs, retrieval, memory, tools, structured knowledge, and enterprise data.
• Build integrations that let AI agents safely interact with customer systems while meeting security, governance, and compliance requirements.
• Prototype new AI capabilities and evolve prototypes into production-ready systems.
• Develop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations.
• Operationalize AI quality using evaluation harnesses and monitoring to detect quality regressions.
• Serve as a primary technical advisor and lead architecture discussions for strategic enterprise accounts.

What you'll need

• 4+ years of software engineering experience with distributed systems, data structures, algorithms, and system design fundamentals.
• Strong Python programming skills for building production software.
• Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and production infrastructure.
• Strong problem-solving skills to navigate ambiguous technical requirements and rapidly iterate toward production solutions.
• Excellent communication skills to work directly with enterprise engineering teams.

Details

• Role is full-time.