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We’re seeking a talented Staff AI Engineer with 5-7 years of experience to join our generative AI team, the core unit driving our flagship AI initiatives, including our primary product focused on transforming live sports data into engaging narratives like automated match reports, previews, and articles, as well as other innovative AI-driven products. This role blends advanced full-stack software engineering with cutting-edge applied AI research, emphasizing traditional machine learning, NLP, LLM fine-tuning, and modern AI workflows to shape products that reach global audiences.
Job Responsibility:
Lead the design and development of scalable, user-facing tools and automated pipelines for diverse AI-driven products
Architect and implement sophisticated agentic workflows using frameworks like LangGraph, LangChain, Google Agent Developer Kit (ADK), and custom solutions
Develop, test, and optimize prompt strategies and fine-tune large language models (LLMs) for data-to-text generation and other use cases
Design and execute rigorous evaluation pipelines for LLMs and traditional ML models
Leverage expertise in NLP, model fine-tuning, and traditional machine learning techniques
Partner with product managers, data scientists, and domain experts to align AI capabilities with product goals
Deliver production-ready services on cloud platforms like AWS
Requirements:
5-7 years of experience as a Full-Stack Developer
Strong command of JavaScript, React, Node.js, and Python
Proven track record of building scalable, production-ready applications
Hands-on experience with traditional machine learning techniques, particularly in NLP (e.g., text classification, sentiment analysis, embeddings), model fine-tuning, and feature engineering
Deep understanding of LLM fine-tuning, agentic workflows, and prompt engineering
Ability to design and optimize complex AI pipelines
Ability to lead projects, mentor junior engineers, and drive technical decisions
Proactive, self-motivated mindset with the ability to take initiative
Ability to thrive in dynamic settings
Eager to rapidly learn and apply emerging AI frameworks
Focus on building robust, scalable systems
Exceptional ability to align with cross-functional teams
Familiarity with real-time data pipelines, media automation, or domain-specific AI applications (e.g., sports, finance, or content generation) is a plus
Nice to have:
Familiarity with real-time data pipelines, media automation, or domain-specific AI applications (e.g., sports, finance, or content generation)
What we offer:
Collaborative environment with colleagues from all over the world
Various social events and teambuilding
Flexibility to manage your workday and tasks with autonomy
A balance of structure and autonomy
Vibrant and inclusive community, including Women in Tech and Pride groups