# AI Engineer, Agent

**Company:** [Eloquent AI](https://hotfix.jobs/companies/eloquent-ai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Experience:** 3+ years
**Skills:** Python, PyTorch, TensorFlow, LLMs, NLP, AWS, GCP, Azure, APIs, Prompt Engineering, Peft, RAG, React, Node.js, Nestjs
**Posted:** 2025-08-22

> Builds, deploys, and optimizes enterprise-grade AI agents for high-stakes conversations, integrating with enterprise systems and fine-tuning LLMs. Requires 3+ years in AI engineering or NLP with Python, PyTorch/TensorFlow proficiency.

## Job Description

## Responsibilities
- 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.

## Requirements
- 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.

## Nice-to-Haves
- Experience with **prompt engineering**, **parameter-efficient fine-tuning (PEFT)**, **retrieval-augmented generation (RAG)**, **reinforcement learning for LLMs**.
- Experience with **frontend** or **backend development** (**React**, **Node.js**, **NestJS**) to enhance AI-driven applications.
- Background in **information retrieval** or **recommender systems**, **document question answering**, or **agent development**.
- Published AI research in top tier AI conferences like: NeurIPS, ACL, SIGIR, ICML and ICLR.
- Contributed to open-source NLP projects.
- Worked in a fast-paced startup environment and thrive in rapid iteration cycles.

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