Who you are

• Experience: Bachelor's degree in Computer Science or a related field. A proven track record with 5+ years of experience in software engineering, with significant experience building backend systems or developer tools
• Strong proficiency in Go (Golang) and experience building scalable, high-performance applications
• Deep knowledge of modern web technologies, including microservices architecture, REST/gRPC APIs, and containerization (Docker, Kubernetes)
• Hands-on experience integrating with LLM APIs (e.g., OpenAI, Google Gemini, Anthropic) and/or working with open-source models is a plus
• Familiarity with concepts like prompt engineering, vector databases (e.g., Pinecone, Weaviate), and Retrieval-Augmented Generation (RAG) architectures is a major plus
• Experience with at least one major cloud platform (AWS, GCP, Azure)
• Experience with simple, secure front end UX/UI development
• A genuine passion for AI and its application to the software development lifecycle. You must be driven by a desire to stay on top of the rapidly changing technology landscape
• A flexible and proactive approach, with a demonstrated ability to quickly learn, prototype, and apply new technologies to solve real-world problems
• Strong analytical and problem-solving skills, with the ability to design elegant solutions to complex technical challenges
• Strong communication skills and the ability to work effectively in a collaborative team environment

What the job involves

• We are looking for a highly skilled and adaptable engineer to join our team building the next generation of AI-powered developer tools for game teams
• In this role, you will be a key technical contributor, designing and implementing features that leverage Large Language Models (LLMs) along with evaluating 3rd party tools to revolutionize the software development lifecycle
• You will be working with Go and modern web technologies to build tools that assist with writing, testing, and understanding code
• The ideal candidate is a creative problem-solver, a hands-on builder, and someone who thrives on staying at the absolute forefront of the rapidly evolving AI landscape
• System & Feature Development: Design, build, and maintain robust, high-performance services and components for our AI developer tools using Go. You will tackle complex technical challenges from the initial concept through to deployment
• LLM Integration: Implement and optimize the integration of various LLMs to power features like code generation, analysis, and automated documentation
• Applied Research & Prototyping: Continuously explore the rapidly changing AI landscape. You will be expected to rapidly prototype with new models, techniques (like Retrieval-Augmented Generation), and technologies to assess their potential for our products
• Technology Evaluation: Research and recommend new technologies, frameworks, and tools. You will play a crucial role in the technical decision-making process through your research and proofs-of-concept
• Collaboration: Work closely with product managers, designers, and other engineers to understand developer needs and translate them into well-designed, functional software
• Code Quality & Best Practices: Champion high standards for code quality, testing, and maintainability. Contribute to a culture of technical excellence and continuous improvement within the team
• Performance and Optimization: Focus on optimizing the performance, latency, and cost-effectiveness of our AI-based services to ensure a seamless experience for developers

Benefits

• COMPENSATION - Performance bonuses, opportunities for equity participation & retirement/pension savings support
• HEALTH - Medical, dental & vision covered for employees, with participation for employees eligible dependents, plus disability and life insurance program
• FAMILY - Generous parental leave for birth parents, partners and adoptive families, plus Infertility support, emergency child care and flexible time-off policies
• WELLNESS - Gym benefits, wellness programs, employee assistance programs and generous time-off policies
• FOOD - Food and snacks made in-house or delivered, healthy snack kitchens with drinks and treats, coffee bars, regular social gatherings and happy hours
• WORK & LIFE - Flexible time-off policies (DTO), office rest areas, gaming spaces, employee discounts and more
• TRANSIT BENEFITS - Shuttle service in select locations, commuter/parking benefits, secure bicycle storage, business travel assistance
• RESOURCE GROUPS - Women at Zynga (WAZ), zCares charitable giving, zParents, zEndurance adventure club, BZU, zPride LGBTQ+ inclusion and belonging