> Markdown version of [/jobs/ext/2103943-ai-agent-engineer](https://www.wearedevelopers.com/jobs/ext/2103943-ai-agent-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). --- # AI Agent Engineer - **Company:** SAI SYSTEMS - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Business Systems, Databases, Data Structures, Software Debugging, Python (Programming Language), Performance Tuning, Reliability Engineering, Software Safety, Software Engineering, Workflow Management Systems, Data Logging, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Low Latency, Virtual Agents, Api Design, Restful APIs, GPT - **Published:** August 18, 2026 - **Apply:** https://www.dice.com/job-detail/2f5e2d63-e8f2-4b77-bcbb-6f81bde660c9 ## About the Role We are seeking a highly skilled Senior AI Agent Engineer to design, develop, fine-tune, evaluate, and deploy advanced AI/LLM solutions that enhance consumer experiences. The ideal candidate will have strong expertise in Python, OpenAI technologies, AI agents, APIs, and LLM-based application development, with hands-on experience building autonomous agents that can reason, plan, use tools, and integrate with enterprise systems., * Python - Advanced * AI Agents / Agentic AI - Intermediate * OpenAI Engineering - Intermediate * ChatGPT / OpenAI APIs - Intermediate * API Development & Integration - Intermediate * Strong understanding of Large Language Models (LLMs) and Generative AI. * Experience with prompt engineering, tool/function calling, structured outputs, and context management. * Experience designing multi-step agent workflows and orchestration patterns. * Strong understanding of software engineering principles, APIs, data structures, testing, and debugging. * Experience building and deploying production-grade AI applications. ## Description * Design, develop, fine-tune, and deploy LLM-powered AI models and applications for consumer-facing experiences. * Build autonomous AI agents using LLMs, tool calling, workflow orchestration, and contextual reasoning. * Develop agent workflows supporting planning, decision-making, memory/context management, and multi-step task execution. * Integrate AI agents with enterprise applications, databases, APIs, and business systems. * Develop and maintain RESTful APIs and AI service integrations using Python. * Work extensively with OpenAI / ChatGPT technologies, including OpenAI APIs, models, function/tool calling, structured outputs, and prompt engineering. * Build reusable frameworks for agent orchestration, tool execution, context management, and workflow automation. * Develop evaluation harnesses to measure accuracy, relevance, reliability, latency, safety, and overall agent performance. * Implement AI safety mechanisms, including guardrails, content controls, validation, human-in-the-loop workflows, and responsible AI practices. * Establish reliability engineering practices for AI applications, including monitoring, logging, tracing, error handling, fallback strategies, and performance optimization. * Fine-tune prompts, model configurations, and agent workflows based on evaluation results and production feedback. * Collaborate with product managers, software engineers, data scientists, UX teams, and business stakeholders to translate consumer needs into AI solutions. * Troubleshoot production issues and continuously improve the quality, scalability, reliability, and cost efficiency of AI services. * Stay current with emerging developments in Generative AI, LLMs, AI agents, agentic workflows, and OpenAI engineering. ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## 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) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)