Founding AI Engineer

Goliath Partners; San Francisco (CA); On-site; USD 300,000 - 340,000; Full time

Job summary

Goliath Partners Inc. is seeking a Senior AI Engineer to design and build backend infrastructure that enables AI-powered workflows and enterprise integrations. You will craft orchestration frameworks, handle multi-stage task execution, and ensure reliable production systems.

The role focuses on AI infrastructure, distributed systems, and backend engineering to establish the technical foundation for next-generation enterprise AI applications.

Qualifications

• Extensive experience in software engineering with AI platform development or distributed computing.
• Proven experience deploying production apps powered by large language models or AI agents.
• Familiarity with LLM architectures, model inference, API integrations, tool execution, and structured outputs.
• Experience architecting scalable backend services for high-volume workloads.

Responsibilities

• Design and develop scalable backend infrastructure to connect AI apps with enterprise APIs and business processes.
• Build orchestration frameworks coordinating LLM interactions, integrations, and multi-stage tasks.
• Develop reliable workflow systems with asynchronous processing, scheduling, and state management.
• Create flexible integration architectures for multiple LLM providers and model-serving platforms.
• Drive observability with monitoring, tracing, and logging to ensure reliability.
• Collaborate with product teams to translate AI requirements into production-ready solutions.

Skills

Backend development

AI platform

Distributed systems

LLM architectures

API integrations

Workflow orchestration

Job description

We are partnering with a rapidly growing technology company developing next-generation AI software designed to transform how businesses manage and execute complex workflows. With a growing focus on enterprise AI adoption, the organization is expanding its engineering capabilities to build the scalable infrastructure needed to power intelligent, automated applications.

The company is seeking a Senior AI Engineer to drive the design and development of core systems supporting its expanding AI ecosystem. This individual will play a key role in building the backend architecture, integration frameworks, and orchestration technologies that allow AI models to interact with enterprise systems, execute multi-step workflows, and deliver dependable results in production environments.

This is an opportunity for an experienced engineer to work across AI infrastructure, distributed systems, and backend engineering while helping establish the technical foundation for a new generation of enterprise AI applications.

Key Responsibilities

• Design and develop scalable backend infrastructure that enables AI applications to connect with enterprise APIs, retrieve contextual information, and execute sophisticated business processes.
• Build and maintain orchestration frameworks responsible for coordinating LLM interactions, external integrations, internal services, and multi-stage task execution.
• Develop reliable workflow and execution systems, including asynchronous processing, task scheduling, persistent state, and lifecycle management.
• Create flexible integration architectures that accommodate multiple LLM providers, model-serving platforms, inference technologies, and emerging AI capabilities.
• Drive platform observability through monitoring infrastructure, distributed tracing, logging, and performance analytics to ensure reliability and operational efficiency.
• Collaborate with engineering and product teams to translate evolving AI requirements into scalable, production-ready technical solutions.

Required Experience and Technical Qualifications

• Extensive experience in software engineering, with a background in AI platform development, backend infrastructure, machine learning systems, or distributed computing.
• Proven experience designing and deploying production-level applications powered by large language models, AI agents, intelligent automation, or LLM-based workflows.
• Strong familiarity with contemporary LLM architectures and development frameworks, including model inference, API integrations, function calling, tool execution, and structured outputs.
• Demonstrated ability to architect scalable backend services and distributed systems capable of supporting high-volume, mission-critical workloads.
• Experience developing workflow orchestration systems, asynchronous processing pipelines, and complex service integrations.

Compensation and Location

Base Salary:

$300,000–$340,000 annually, depending on experience and qualifications.