Fullstack Engineer (AI Platform)

Gold Media Tech LLC; Snowflake (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

A cutting-edge tech firm in Arizona seeks a Fullstack Engineer to build scalable components for advanced AI agents. This role involves optimizing user experiences across various channels and creating systems for large volumes of data. The ideal candidate thrives in a startup environment and has fullstack experience with a strong focus on AI applications. You will be integral in developing groundbreaking technology that enhances user interaction and system reliability.

Qualifications

• Experience with language models (LLMs) and their APIs.
• Designing and maintaining data pipelines.
• Handling unstructured data in event-driven systems.
• Exposure to ElasticSearch, Snowflake, PrestoDB, or Hadoop is a plus.
• Startup mindset with proactive ownership.
• Curious, fast-moving, and future-focused on real-world AI agents.

Responsibilities

• Design and build scalable core components of the platform.
• Enhance conversation quality of AI agents.
• Optimize user experience across multiple channels.
• Create systems for handling event-driven workflows.
• Contribute to evaluation frameworks for AI agents.
• Collaborate with Product and Design teams.

Skills

Fullstack development

AI applications

Cloud technologies (AWS, GCP, Azure)

Event-driven architectures

Big Data technologies

Curiosity and proactive mindset

Tools

AWS

ElasticSearch

Snowflake

PrestoDB

Job description

• AWS , Big Data , ElasticSearch , LLM , PrestoDB , Python , Snowflake

Our client is creating the next generation of autonomous AI agents that operate meaningfully in the real world. If you’re an engineer passionate about solving complex problems and want to make a significant impact on a groundbreaking product, this is your opportunity.

About the Role:

As a Fullstack Engineer on their platform team, you will be a key player in scaling and refining their core technology. Your responsibilities will include:

• Architecture & Scalability: Designing, building, and scaling the core components of their platform, ensuring high performance and unwavering reliability as they grow.
• Quality & Tooling: Directly enhancing the conversation quality of their AI agents and building the tools used by their onboarding and customer success teams.
• Omnichannel Experience: Optimizing and unifying the user experience across multiple channels like SMS, email (SMTP), and voice.
• Data Systems: Creating robust systems to handle event-driven workflows and process large volumes of unstructured data.
• Evaluation & Improvement: Contributing to the development of evaluation frameworks for their AI agents, aiming to iteratively increase their accuracy and reduce errors.
• Agile Collaboration: Working closely with Product and Design teams to ship quickly, test in production, and iterate based on real customer feedback.

Requirements

Ideally, you possess a combination of the following skills and experiences:

• Fullstack with an AI Focus: You have fullstack development experience and have practically applied AI, with deep familiarity of language models (LLMs) and their APIs.
• Cloud & Data Proficiency: Strong knowledge of cloud-based tech stacks (AWS, GCP, Azure) and experience designing and maintaining data pipelines.
• Event-Driven Systems: Experience working with event-driven architectures and handling unstructured data.
• Big Data Tech: Exposure or experience with technologies like ElasticSearch, Snowflake, PrestoDB, or Hadoop is a strong plus.
• Startup Mentality: You thrive in a fast-paced, dynamic environment, are proactive, and take high ownership of your work.
• Mindset & Vision: You are naturally curious, move with speed, and have a strong bias toward building the future of real-world AI agents.