AI Engineer

Job Description

Location: On-Site Hybrid

Job Type: Full-time

Salary: Competitive, starting at $80K, with potential growth up to $300K based on business performance (details to be discussed)

About Us

One Fish AI is an innovative startup focused on helping small and medium-sized businesses optimize their operations using AI-driven solutions. We specialize in inventory management, workflow optimization, and logistics, empowering businesses to reduce waste and increase efficiency. Additionally, we are leading an R&D effort to develop near-autonomous consulting solutions through cutting-edge AI technologies, with an NSF grant submission in progress.

Role Overview

We are seeking a highly skilled AI Engineer to work directly with small and medium businesses, understand their operational challenges, and apply AI-driven approaches to improve their workflows. The role also involves contributing to a potential NSF grant project, including designing and architecting innovative AI-driven R&D solutions.

As a fast-growing startup, we sometimes work beyond traditional hours to meet project deadlines and business needs. We are looking for a passionate AI Engineer who thrives in a dynamic environment and is willing to contribute when necessary to drive innovation and growth. While we value dedication, we also prioritize work-life balance and flexibility.

Key Responsibilities

Engage with small and medium businesses to analyze their workflow, identify inefficiencies, and develop AI-based solutions.

Design, develop, and fine-tune AI models, with a focus on reinforcement learning and multi-agentic automation.

Collaborate on an NSF grant project, helping to architect and refine a research problem related to AI-driven business consulting.

Deploy AI models and applications using Docker for scalability and reliability.

Work with backend technologies, APIs, and databases to integrate AI-driven solutions into business operations.

Stay up-to-date with the latest advancements in AI, automation, and multi-agent LLM systems.

Requirements

Must-Have Requirements

M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field.

Strong proficiency in Python for AI/ML development.

Hands-on experience in training and fine-tuning AI models.

Expertise in Reinforcement Learning techniques.

Experience with Docker for AI model deployment and containerized applications.

Preferred Qualifications

Experience with FastAPI for building AI-driven APIs.

Knowledge of PostgreSQL, MinIO, and Weaviate for database and storage solutions.

Experience designing multi-agent LLM systems and applying AI for business process automation.

Background in AI research and previous work with grant-funded projects is a plus.

Benefits

Compensation & Growth Opportunities

Starting salary: $80K, with the potential to grow up to $300K based on successful business roadmap execution and personal contribution (to be discussed).

Equity and bonus opportunities may be available for long-term contributors.

Opportunity to work on cutting-edge AI research with real-world business applications.

Full-time