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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Goliath Partners - **Location:** San Francisco, CA, United States - **Salary:** $220,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Software Engineering, AI Infrastructure, Large Language Models, Multi-Agent Systems, Model Validation, Information Technology - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2a31578eace17897 ## About the Role * 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. ## 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., * Significant ownership, autonomy, and opportunity to influence the technical direction of a rapidly growing AI company ## Related Videos - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach](https://www.wearedevelopers.com/videos/1967-building-scalable-multi-agentic-ai-systems-in-java-orchestrating-agents-with-event-driven-approach) - [How to build a sovereign European AI compute infrastructure](https://www.wearedevelopers.com/videos/1102-how-to-build-a-sovereign-european-ai-compute-infrastructure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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