Generative AI Engineer – DevEx

Modern Football, Inc.; Palo Alto (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible hours

Remote work options

Health insurance

Career development

Job summary

Modern Football, Inc. is seeking a Full Stack Data Scientist to advance AI-powered developer tools for the DX team. You will drive end-to-end AI research, data preparation, experimentation, and production deployment to create scalable, production-ready AI solutions for football analytics.

The role emphasizes hands-on experience with generative AI, multi-agent systems, prompt engineering, and RAG architectures, with strong collaboration across engineering, product, and design teams.

Qualifications

• 4+ years of professional experience as a Data Scientist in non-academic settings, focusing on LLMs, NLP, or other deep learning fields.
• Proven track record of conceiving, designing, and shipping successful agentic-driven projects to production.
• Hands-on experience with modern generative AI models, prompt engineering, multi-agent systems, and RAG architectures.
• Proficiency in Python is required; knowledge of TypeScript is a plus.
• Strong communication and collaboration skills; ability to work effectively in interdisciplinary teams.
• Analytical and experimental mindset with a focus on measurable impact and real-world outcomes

Responsibilities

• Leverage generative AI models and data-driven insights to create innovative developer tools within Modern Football’s ecosystem.
• Lead end-to-end AI research and development: data preparation, experimentation, production deployment, and performance evaluation.
• Develop and optimize LLM-based systems, including prompt engineering, RAG pipelines, and multi-agent architectures.
• Partner with software engineers, product managers, designers, and analysts to build scalable, production-ready AI solutions.
• Design and conduct experiments to measure and improve model performance and overall system impact.
• Collaborate on defining AI/ML best practices, tooling standards, and long-term data strategies for the Developer Experience (DX) group

Skills

LLMs

NLP

Deep learning

Prompt engineering

Multi-agent systems

RAG architectures

Tools

Python

TypeScript

Job description

Modern Football is the leading real-time football analytics platform, revolutionizing the way teams use data to create competitive advantages on the field. We are driven by our passion for football and we’re committed to delivering football intelligence that works with the speed of the game. Join our dynamic team and be part of an exciting journey to transform the future of football analytics!

Job Description:

We’re looking for a Full Stack Data Scientist to join our AI Engineering team, driving the future of AI-powered developer experience (DevEx internal AI) at Modern Football. In this role, you’ll harness the power of generative AI and data science to design, build, and optimize intelligent systems that elevate the way Coaches work - from ideation to production.

Key Responsibilities:

Leverage generative AI models and data-driven insights to create innovative developer tools within Modern Football’s ecosystem.

Lead end-to-end AI research and development: data preparation, experimentation, production deployment, and performance evaluation.

Develop and optimize LLM-based systems, including prompt engineering, RAG pipelines, and multi-agent architectures.

Partner with software engineers, product managers, designers, and analysts to build scalable, production-ready AI solutions.

Design and conduct experiments to measure and improve model performance and overall system impact.

Collaborate on defining AI/ML best practices, tooling standards, and long-term data strategies for the Developer Experience (DX) group

Requirements:

4+ years of professional experience as a Data Scientist in non-academic settings, focusing on Large Language Models (LLMs), NLP, or other deep learning fields.

Proven track record of conceiving, designing, and shipping successful agentic-driven projects to production.

Hands-on experience with modern generative AI models, prompt engineering, multi-agent systems, and RAG architectures.

Proficiency in Python is required; knowledge of TypeScript is a plus.

Strong communication and collaboration skills; ability to work effectively in interdisciplinary teams.

Analytical and experimental mindset with a focus on measurable impact and real-world outcomes

Preferred Qualifications:

Passion for advancing the developer experience through AI and data-driven innovation

Curiosity and creativity in exploring cutting-edge LLMs and emerging AI frameworks

Motivation by impact, experimentation, and empowering developers to achieve more with AI

What We Offer:

Competitive salary and benefits package.

Opportunity to work in a vibrant and innovative environment.

Flexible working hours and remote work options.

Professional development opportunities and career growth.

Health insurance and other employee benefits.

Modern Football is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Explore an entirely fresh approach to football technology.