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# Senior AI Engineer

- **Company:** Goliath Partners
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $270,000.0 - $325,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Computer Engineering, Decision-Making Software, Distributed Systems, Software Architecture, Inference Optimization, Software Engineering, Software Systems, Data Logging, Retrieval-Augmented Generation, Large Language Models, Backend, Agentic-AI, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents, Invoking Functions, Dynatrace, Api Management
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5c7278b00c3b7eab

## About the Role

* Significant professional experience in software engineering, particularly across AI platforms, backend infrastructure, machine learning systems, or distributed computing environments.
 * Demonstrated success delivering production software that incorporates large language models, intelligent agents, automated decision-making, or AI-assisted workflow execution.
 * Strong working knowledge of modern LLM ecosystems, including model-serving APIs, structured outputs, function calling, retrieval-augmented generation, agent frameworks, and inference optimization.
 * Experience evaluating AI development frameworks and infrastructure technologies, with the ability to make pragmatic choices based on performance, reliability, and long-term maintainability.
 * Bachelor's or advanced degree in Computer Science, Computer Engineering, or a related discipline is preferred; equivalent practical experience is also valuable.

## Description

Working alongside a lean, highly skilled engineering team, you will play a central role in shaping the technical direction of the platform. You will have the autonomy to make architectural decisions, introduce scalable engineering patterns, and turn emerging AI capabilities into production-ready infrastructure. This position is ideal for an engineer who combines deep systems expertise with practical experience building intelligent, automated software., * Architect and develop core infrastructure that allows AI-powered applications to interact with APIs, retrieve contextual information, manage working state, and execute complex operations.

 * Build execution frameworks that coordinate language model requests, external tool usage, API integrations, and dependent tasks across sophisticated workflows.
 * Develop systems for task scheduling, workflow persistence, execution control, and decision management to support increasingly capable AI-driven applications.
 * Design modular interfaces that enable integration with different foundation models, inference platforms, AI service providers, and emerging technologies.
 * Establish robust evaluation and validation pipelines to measure model behavior, assess application quality, and identify opportunities for ongoing performance improvement.
 * Implement end-to-end observability through distributed tracing, structured logging, metrics, and monitoring to identify bottlenecks and improve production reliability.