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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer, Agent Organization - **Company:** Eloquent AI - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Databases, Information Retrieval, Python (Programming Language), Natural Language Processing, Node.Js, Open Source Technology, Performance Tuning, Recommender Systems, Tensorflow, Software Engineering, Reinforcement Learning, Google Cloud, Enterprise Software Applications, Chatbots, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Backend, Question Answering, Front End Software Development, Virtual Agents, NestJS - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-agent-san-francisco-ca--414c9ff6-f714-4063-b372-82036e7f815d ## About the Role This role requires a mix of software development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you., * 3+ years of experience in software development, AI engineering, or NLP in a production environment. * Strong proficiency in Python, with experience in frameworks like PyTorch and TensorFlow. * Experience working with LLMs and NLP models, including fine-tuning and inference optimization. * Familiarity with APIs, cloud infrastructure (AWS, GCP, or Azure), and enterprise integrations. * Ability to prototype, experiment, and iterate quickly to improve AI agents. * Strong problem-solving skills and the ability to work closely with customers to refine AI solutions. Bonus Points If… * You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs. * You have experience with frontend or backend development (React, Node.js, NestJS) to enhance AI-driven applications. * You have a background in information retrieval or recommender systems, document question answering, or agent development. * You've published AI research in top tier AI conferences like: NeurIPS, ACL, SIGIR, ICML and ICLR. * You've contributed to open-source NLP projects. * You've worked in a fast-paced startup environment and thrive in rapid iteration cycles. Skills: Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Cloud Computing, Cross-Functional, Enterprise Applications, Financial Services, GCP (Good Clinical Practices), Information Retrieval, Microsoft Windows Azure, Natural Language Processing (NLP), Needs Assessment, Open Source, Performance Management, Problem Solving Skills, Production Systems, Prototyping, Software Agents, Software Development ## Description * Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. * Work with customers to understand business needs, assess AI capabilities, and implement tailored solutions. * Train and fine-tune LLMs for improved accuracy and efficiency. * Integrate AI agents with enterprise systems via APIs, databases, and automation tools. * Experiment rapidly to improve AI-driven interactions, response quality, and automation capabilities. * Collaborate with cross-functional teams (engineering, research, and product) to shape Eloquent AI's roadmap. * Monitor and improve agents' performance via user simulations and evaluations. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) ## 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) - [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) - [Got AI ideas but no money? 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