> Markdown version of [/jobs/ext/2535705-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/2535705-artificial-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Goliath Partners - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $350,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Software Engineering, Large Language Models, Model Validation, Information Technology, Build Tools, Automation Anywhere - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5b833300e45b1f04 ## About the Role * 2+ years of software engineering, machine learning, or applied AI experience * Experience delivering an LLM powered or agent based product to real users * Strong understanding of model evaluation, tool calling, retrieval, prompting, and orchestration * Able to build reliable production software around probabilistic AI systems * Comfortable owning loosely defined problems from initial idea through deployment * Closely follows developments in LLMs and agentic AI * Strong computer science or engineering fundamentals ## Description A venture backed AI company is looking for an early engineering hire to help develop the core intelligence powering its enterprise automation platform. This is a highly hands on position for someone who has already moved LLM or agent based technology beyond the prototype stage. You will work closely with the founders, take ownership of major technical decisions, and build AI systems that customers rely on for complex, high value business processes. The Role * Develop the core architecture behind autonomous, multi step AI workflows * Build systems that allow agents to use external software, retain context, and complete complex tasks * Create testing and evaluation frameworks for reliability, accuracy, and performance * Determine when to use prompting, retrieval, fine tuning, or different underlying models * Rapidly test new research and integrate the strongest approaches into the product * Investigate production failures and turn them into lasting system improvements * Influence technical direction, engineering standards, and future hiring ## Related Videos - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Building a framework-independent component library](https://www.wearedevelopers.com/videos/1679-building-a-framework-independent-component-library) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)