🛠 Tech Stack

💼 About This Role

You'll own and maintain a sophisticated AI platform already in production for a regulated enterprise client. You'll handle backend, data engineering, and DevOps autonomously, making technical decisions independently.

🎯 What You'll Do

• Maintain and extend a production AI platform
• Handle backend, data engineering, and infrastructure work
• Translate business requirements into technical decisions
• Establish engineering best practices for the platform

📋 Requirements

• 6+ years of hands-on engineering experience with production systems
• Strong production Python skills and software engineering fundamentals
• Hands-on AWS experience (S3, Lambda, ECS, SQS, Bedrock, RDS)
• Analytical data pipelines experience (SQL, Spark) at scale

✨ Nice to Have

• Experience with AI/ML systems or LLM-based applications
• Container-based deployments and Lambda optimization
• DevOps or MLOps background

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health, dental, vision
• 💰 401(k) with company match
• 📈 Annual performance bonus
• 🏠 Remote-first, flexible work environment

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min