AI Engineer

Goliath Partners Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 220,000 - 275,000; Full time

Benefits offered by this job

Hybrid work model

Ownership in technical direction

Significant autonomy

Job summary

Goliath Partners Inc. is seeking an AI engineering leader to own the core agent infrastructure and model orchestration. You will translate advances in foundation models into scalable, dependable products for enterprise clients, spanning research and software engineering.

You’ll design and implement evaluation pipelines, multi-model routing, and a reusable AI infrastructure that adapts to changing model capabilities. Hybrid SF location with significant ownership awaits.

Qualifications

• Proven background in building and deploying LLM-based products and autonomous agents.
• Experience turning AI concepts into robust, production-grade systems.
• Strong software engineering skills in fast-moving, ambitious teams.

Responsibilities

• Architect and maintain infrastructure powering AI agents, including tool execution and workflow coordination.
• Build agent systems capable of multi-stage business process execution.
• Develop model orchestration and routing to select best models/strategies.
• Create adaptable AI infrastructure supporting multiple providers and evolving models.
• Design evaluation pipelines to measure quality, reliability, and performance.
• Establish benchmarks for complex agent workflows and catch regressions early.
• Translate advances in LLMs and agent frameworks into scalable production capabilities.
• Prototype prompting, retrieval, fine-tuning, and model selection to improve outcomes.
• Influence architectural direction and broader technical roadmap as the company scales.
• Contribute to building and expanding a high-performing AI engineering team.

Skills

LLM APIs

Agent architectures

Software engineering

Education

Bachelor’s/Master’s/PhD in CS/EE or related field

Tools

Tool calling

Model orchestration

Retrieval systems

Job description

We’re partnering with a rapidly scaling AI company developing intelligent systems that automate sophisticated, high-impact workflows for enterprise organizations. This role sits at the core of the company’s AI engineering efforts, with a focus on agent infrastructure, LLM systems, model orchestration, evaluation, and production-grade AI applications.

You’ll operate across applied AI research and software engineering, taking new advances in foundation models and agent technology and transforming them into dependable products that solve real-world customer problems.

What You’ll Do

• Architect and maintain the infrastructure powering AI agents, including tool execution, computer interaction, state, memory, and workflow coordination.
• Build agent systems capable of reasoning through and executing complex, multi-stage business processes.
• Develop model orchestration and routing systems that dynamically determine the best model or strategy for a given task.
• Create an adaptable AI infrastructure layer that can support multiple model providers and rapidly changing foundation-model capabilities.
• Design evaluation pipelines that continuously measure agent quality, reliability, and performance while catching regressions before deployment.
• Establish benchmarks and testing methodologies for complex, open-ended agent workflows that cannot be evaluated effectively through conventional methods.
• Convert advances in LLMs, agent frameworks, tool use, and computer-use technology into scalable production capabilities.
• Rapidly prototype and iterate across prompting, retrieval, fine-tuning, model selection, and agent design to improve outcomes.
• Influence architecture, engineering practices, and the broader technical roadmap as the organization scales.
• Contribute to building and expanding a high-performing AI engineering team.

What We’re Looking For

• Strong foundations in computer science, with a Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or a related technical discipline from a strong academic institution preferred.
• Proven experience developing and deploying LLM-based products, autonomous agents, or AI-driven automation systems.
• Strong knowledge of agent architectures, LLM APIs, tool calling, retrieval systems, prompting techniques, model selection, and orchestration.
• Experience taking experimental or research-oriented AI concepts and engineering them into robust, production-quality systems.
• Strong software engineering skills and the ability to work effectively in a fast-moving, technically ambitious environment.
• Comfortable experimenting quickly, measuring results, and iterating based on empirical performance.

Compensation & Benefits

• Base Salary:$220,000 – $275,000, depending on experience
• Location: San Francisco, CA, Hybrid
• Significant ownership, autonomy, and opportunity to influence the technical direction of a rapidly growing AI company