Senior AI Engineer

We are working with an innovative technology organization building intelligent software solutions that help businesses automate complex operations and unlock greater productivity. As the company scales its AI capabilities for enterprise customers, it is investing in the foundational systems required to support secure, resilient, and high-throughput applications.

The team is looking for a Senior AI Engineer to lead the development of the underlying architecture that enables AI-powered products to operate at scale. This position sits at the intersection of platform engineering, backend development, and applied AI, with a focus on building systems that connect language models to business tools, orchestrate automated processes, and support reliable execution across distributed environments.

As a senior member of a lean engineering organization, you will contribute directly to system design and implementation, influence key architectural decisions, and help establish the technical foundations for the company's next phase of growth.

Core Responsibilities

• Architect and implement platform services that allow AI-driven applications to consume external APIs, access relevant information, preserve operational context, and carry out complex tasks.
• Engineer orchestration layers that manage interactions between language models, third-party services, internal APIs, and sequential or conditional execution paths.
• Develop durable workflow infrastructure, including job scheduling, state management, execution lifecycle controls, and mechanisms for coordinating automated decisions.
• Design extensible integration layers that support multiple foundation models, inference backends, AI vendors, and evolving model technologies.
• Build automated testing, benchmarking, and evaluation processes to measure model outputs, validate application behavior, and track system quality over time.
• Establish comprehensive observability practices through telemetry, distributed tracing, structured logs, performance metrics, and monitoring to diagnose issues and strengthen platform stability.

Required Background and Technical Expertise

• Significant professional experience in software engineering, particularly in AI infrastructure, backend platforms, machine learning engineering, or distributed systems.
• Demonstrated success delivering production-grade solutions built around large language models, autonomous agents, AI-assisted decision systems, or intelligent workflow automation.
• Strong technical understanding of modern LLM ecosystems, including inference APIs, tool invocation, structured response

Compensation and Location:

Base Salary: $275,000–$320,000 annually, depending on experience and qualifications

Location: San Francisco, California. Hybrid

Apply today and we will be in touch!